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February 13, 2026 20:03
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Developer Velocity Report - Glockenspiel Monorepo (Jan 2025 - Jan 2026)
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| #!/usr/bin/env python3 | |
| """ | |
| Developer Velocity Analysis for Glockenspiel Monorepo | |
| Generates Economist-style charts analyzing engineering productivity trends, | |
| AI tool adoption, and per-engineer output over time. | |
| Methodology: | |
| - Commit data from git log (author, date, Co-Authored-By trailers) | |
| - PR data from GitHub API via `gh` CLI | |
| - AI attribution via Co-Authored-By: matching @anthropic.com (Claude) and @cursor.com (Cursor) | |
| - Headcount approximated by unique committer emails per month | |
| Usage: | |
| uv run --with matplotlib analyze.py [--repo-path /path/to/repo] [--output-dir ./output] | |
| """ | |
| import argparse | |
| import json | |
| import os | |
| import re | |
| import subprocess | |
| import statistics | |
| import time | |
| from collections import defaultdict | |
| from datetime import datetime, timedelta | |
| from pathlib import Path | |
| import matplotlib | |
| matplotlib.use("Agg") | |
| import matplotlib.pyplot as plt | |
| import matplotlib.ticker as ticker | |
| from matplotlib.dates import MonthLocator, DateFormatter | |
| import matplotlib.patches as mpatches | |
| # ── Economist-inspired style ────────────────────────────────────────────────── | |
| COLORS = { | |
| "red": "#E3120B", | |
| "dark_red": "#9E0007", | |
| "navy": "#13294B", | |
| "blue": "#1F77B4", | |
| "teal": "#006D6F", | |
| "grey": "#76787A", | |
| "light_grey": "#D4D5D6", | |
| "bg": "#FEFCF5", | |
| "grid": "#E0DDD5", | |
| "text": "#333333", | |
| "human": "#13294B", | |
| "claude": "#E3120B", | |
| "cursor": "#1F77B4", | |
| "ai_total": "#E3120B", | |
| } | |
| def apply_economist_style(): | |
| plt.rcParams.update({ | |
| "figure.facecolor": COLORS["bg"], | |
| "axes.facecolor": COLORS["bg"], | |
| "axes.edgecolor": "none", | |
| "axes.grid": True, | |
| "axes.grid.axis": "y", | |
| "grid.color": COLORS["grid"], | |
| "grid.linewidth": 0.5, | |
| "grid.alpha": 0.8, | |
| "font.family": "sans-serif", | |
| "font.sans-serif": ["Helvetica Neue", "Helvetica", "Arial", "sans-serif"], | |
| "font.size": 10, | |
| "axes.titlesize": 13, | |
| "axes.titleweight": "bold", | |
| "axes.labelsize": 10, | |
| "axes.labelcolor": COLORS["grey"], | |
| "xtick.color": COLORS["grey"], | |
| "ytick.color": COLORS["grey"], | |
| "xtick.labelsize": 8.5, | |
| "ytick.labelsize": 8.5, | |
| "legend.frameon": False, | |
| "legend.fontsize": 9, | |
| "figure.dpi": 150, | |
| "savefig.dpi": 150, | |
| "savefig.bbox": "tight", | |
| "savefig.facecolor": COLORS["bg"], | |
| }) | |
| def add_economist_header(ax, title, subtitle=None): | |
| """Add a red top bar and title in Economist style.""" | |
| # Red top bar | |
| ax.axhline(y=ax.get_ylim()[1], color=COLORS["red"], linewidth=3, | |
| xmin=-0.02, xmax=1.02, clip_on=False) | |
| ax.set_title(title, loc="left", pad=14, color=COLORS["text"]) | |
| if subtitle: | |
| ax.text(0, 1.02, subtitle, transform=ax.transAxes, | |
| fontsize=8.5, color=COLORS["grey"], va="bottom") | |
| def add_source_note(fig, text="Source: git log, GitHub API"): | |
| fig.text(0.01, -0.02, text, fontsize=7, color=COLORS["grey"], | |
| style="italic", transform=fig.transFigure) | |
| # ── Data collection ─────────────────────────────────────────────────────────── | |
| def run(cmd, timeout=120): | |
| result = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=timeout) | |
| return result.stdout.strip() | |
| def collect_monthly_commit_data(repo_path, since="2024-01-01"): | |
| """Collect per-month commit counts, AI attribution, and unique authors.""" | |
| os.chdir(repo_path) | |
| # Generate month list | |
| start = datetime.strptime(since, "%Y-%m-%d") | |
| now = datetime.now() | |
| months = [] | |
| d = start.replace(day=1) | |
| while d <= now: | |
| months.append(d.strftime("%Y-%m")) | |
| if d.month == 12: | |
| d = d.replace(year=d.year + 1, month=1) | |
| else: | |
| d = d.replace(month=d.month + 1) | |
| data = [] | |
| for ym in months: | |
| y, m = int(ym[:4]), int(ym[5:]) | |
| if m == 12: | |
| until = f"{y + 1}-01-01" | |
| else: | |
| until = f"{y}-{m + 1:02d}-01" | |
| # Get all commits for this month: hash, author email, date | |
| raw = run(f'git log --format="%H|||%ae|||%aI" --since="{ym}-01" --until="{until}"') | |
| if not raw: | |
| data.append({ | |
| "month": ym, "total": 0, "claude": 0, "cursor": 0, | |
| "human": 0, "unique_authors": 0, "author_set": set() | |
| }) | |
| continue | |
| commits = [line.split("|||") for line in raw.split("\n") if "|||" in line] | |
| total = len(commits) | |
| authors = set(c[1] for c in commits) | |
| # Get bodies for AI detection | |
| bodies_raw = run( | |
| f'git log --format="<<COMMIT_BOUNDARY>>%n%b" --since="{ym}-01" --until="{until}"', | |
| timeout=300 | |
| ) | |
| bodies = bodies_raw.split("<<COMMIT_BOUNDARY>>\n") | |
| claude_count = 0 | |
| cursor_count = 0 | |
| for body in bodies: | |
| bl = body.lower() | |
| if "co-authored-by" in bl: | |
| if "anthropic.com" in bl or "co-authored-by: claude" in bl: | |
| claude_count += 1 | |
| if "cursor.com" in bl or "cursoragent" in bl: | |
| cursor_count += 1 | |
| data.append({ | |
| "month": ym, | |
| "total": total, | |
| "claude": claude_count, | |
| "cursor": cursor_count, | |
| "human": total - claude_count - cursor_count, | |
| "unique_authors": len(authors), | |
| "author_set": authors, | |
| }) | |
| return data | |
| def collect_monthly_pr_data(since="2024-01"): | |
| """Collect monthly PR counts from GitHub API.""" | |
| months = [] | |
| y, m = int(since[:4]), int(since[5:]) | |
| now = datetime.now() | |
| while (y, m) <= (now.year, now.month): | |
| months.append(f"{y}-{m:02d}") | |
| if m == 12: | |
| y += 1 | |
| m = 1 | |
| else: | |
| m += 1 | |
| data = [] | |
| for i, ym in enumerate(months): | |
| y2, m2 = int(ym[:4]), int(ym[5:]) | |
| if m2 == 12: | |
| end = f"{y2 + 1}-01-01" | |
| else: | |
| end = f"{y2}-{m2 + 1:02d}-01" | |
| # Rate limit: GitHub Search API allows 30 req/min | |
| # We make 2 calls per month, so sleep 4s between months | |
| if i > 0: | |
| time.sleep(4) | |
| # Total merged PRs | |
| total = run( | |
| f'gh api "search/issues?q=repo:suno-ai/glockenspiel+is:pr+is:merged+' | |
| f'merged:{ym}-01..{end}&per_page=1" --jq ".total_count"' | |
| ) | |
| time.sleep(2) | |
| # Claude Code PRs (body contains "Generated with Claude Code") | |
| claude_prs = run( | |
| f'gh api "search/issues?q=repo:suno-ai/glockenspiel+is:pr+is:merged+' | |
| f'merged:{ym}-01..{end}+%22Generated+with+Claude+Code%22&per_page=1" ' | |
| f'--jq ".total_count"' | |
| ) | |
| t = int(total) if total.isdigit() else 0 | |
| c = int(claude_prs) if claude_prs.isdigit() else 0 | |
| data.append({"month": ym, "total_prs": t, "claude_code_prs": c}) | |
| print(f" {ym}: {t} PRs, {c} Claude Code") | |
| return data | |
| def collect_per_developer_data(repo_path, since="2025-06-01"): | |
| """Per-developer AI usage stats.""" | |
| os.chdir(repo_path) | |
| raw = run(f'git log --format="<<COMMIT_BOUNDARY>>%ae|||%aI%n%b" --since="{since}"', timeout=300) | |
| commits = raw.split("<<COMMIT_BOUNDARY>>") | |
| dev_stats = defaultdict(lambda: {"total": 0, "claude": 0, "cursor": 0}) | |
| for commit in commits: | |
| if not commit.strip(): | |
| continue | |
| lines = commit.strip().split("\n") | |
| if "|||" not in lines[0]: | |
| continue | |
| email, date = lines[0].split("|||") | |
| body = "\n".join(lines[1:]).lower() | |
| dev_stats[email]["total"] += 1 | |
| if "co-authored-by" in body: | |
| if "anthropic.com" in body or "co-authored-by: claude" in body: | |
| dev_stats[email]["claude"] += 1 | |
| if "cursor.com" in body or "cursoragent" in body: | |
| dev_stats[email]["cursor"] += 1 | |
| return dict(dev_stats) | |
| def collect_code_volume_data(repo_path, since="2024-01-01"): | |
| """Monthly insertions/deletions.""" | |
| os.chdir(repo_path) | |
| start = datetime.strptime(since, "%Y-%m-%d") | |
| now = datetime.now() | |
| months = [] | |
| d = start.replace(day=1) | |
| while d <= now: | |
| months.append(d.strftime("%Y-%m")) | |
| if d.month == 12: | |
| d = d.replace(year=d.year + 1, month=1) | |
| else: | |
| d = d.replace(month=d.month + 1) | |
| data = [] | |
| for ym in months: | |
| y, m = int(ym[:4]), int(ym[5:]) | |
| if m == 12: | |
| until = f"{y + 1}-01-01" | |
| else: | |
| until = f"{y}-{m + 1:02d}-01" | |
| raw = run( | |
| f'git log --since="{ym}-01" --until="{until}" --shortstat --format=""', | |
| timeout=120 | |
| ) | |
| ins = dels = files = 0 | |
| for line in raw.split("\n"): | |
| line = line.strip() | |
| if not line: | |
| continue | |
| m_ins = re.search(r"(\d+) insertion", line) | |
| m_del = re.search(r"(\d+) deletion", line) | |
| m_fil = re.search(r"(\d+) file", line) | |
| if m_ins: | |
| ins += int(m_ins.group(1)) | |
| if m_del: | |
| dels += int(m_del.group(1)) | |
| if m_fil: | |
| files += int(m_fil.group(1)) | |
| data.append({ | |
| "month": ym, | |
| "insertions": ins, | |
| "deletions": dels, | |
| "net": ins - dels, | |
| "files_changed": files, | |
| }) | |
| return data | |
| # ── Chart generation ────────────────────────────────────────────────────────── | |
| def parse_month(ym): | |
| return datetime.strptime(ym, "%Y-%m") | |
| def rolling_avg(values, window=3): | |
| """Compute a centered rolling average.""" | |
| result = [] | |
| for i in range(len(values)): | |
| start = max(0, i - window // 2) | |
| end = min(len(values), i + window // 2 + 1) | |
| result.append(sum(values[start:end]) / (end - start)) | |
| return result | |
| def chart_pr_velocity(pr_data, commit_data, output_dir): | |
| """Chart 1: Engineering velocity - absolute and per active engineer.""" | |
| fig, axes = plt.subplots(3, 1, figsize=(10, 10), height_ratios=[1, 1, 0.8]) | |
| fig.subplots_adjust(hspace=0.5) | |
| months = [parse_month(d["month"]) for d in pr_data] | |
| prs = [d["total_prs"] for d in pr_data] | |
| # "Active engineer" = unique committer in that month (≥1 commit) | |
| # This is our best proxy; bots are a small fraction | |
| authors = [d["unique_authors"] for d in commit_data[:len(pr_data)]] | |
| ai_start = parse_month("2025-06") | |
| # ── Panel 1: Total PRs merged ── | |
| ax1 = axes[0] | |
| ax1.bar(months, prs, width=25, color=COLORS["navy"], alpha=0.85, zorder=3) | |
| ax1.set_ylabel("PRs merged") | |
| ax1.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f"{int(x):,}")) | |
| ymax = max(prs) * 1.15 | |
| ax1.set_ylim(0, ymax) | |
| add_economist_header(ax1, "Monthly pull requests merged", | |
| "Glockenspiel monorepo, total merged PRs per calendar month") | |
| # AI era shading | |
| ax1.axvspan(ai_start, months[-1] + timedelta(days=15), | |
| color=COLORS["red"], alpha=0.04, zorder=1) | |
| ax1.axvline(ai_start, color=COLORS["red"], linewidth=1, linestyle="--", alpha=0.5, zorder=4) | |
| ax1.text(ai_start + timedelta(days=5), ymax * 0.92, | |
| "AI agentic era begins", fontsize=8, color=COLORS["red"], va="top") | |
| # ── Panel 2: PRs per active engineer (the key metric) ── | |
| ax2 = axes[1] | |
| prs_per_eng = [p / a if a else 0 for p, a in zip(prs, authors)] | |
| prs_per_eng_smooth = rolling_avg(prs_per_eng, window=3) | |
| ax2.plot(months, prs_per_eng, color=COLORS["navy"], linewidth=0.8, alpha=0.4, | |
| zorder=2, label="Monthly") | |
| ax2.plot(months, prs_per_eng_smooth, color=COLORS["navy"], linewidth=2.5, | |
| zorder=3, label="3-month rolling avg") | |
| ax2.fill_between(months, prs_per_eng_smooth, alpha=0.06, color=COLORS["navy"]) | |
| # Compute pre-AI and post-AI averages | |
| pre_ai = [p for m, p in zip(months, prs_per_eng) if m < ai_start] | |
| post_ai = [p for m, p in zip(months, prs_per_eng) if m >= ai_start] | |
| pre_avg = sum(pre_ai) / len(pre_ai) if pre_ai else 0 | |
| post_avg = sum(post_ai) / len(post_ai) if post_ai else 0 | |
| # Draw horizontal average lines | |
| pre_months = [m for m in months if m < ai_start] | |
| post_months = [m for m in months if m >= ai_start] | |
| if pre_months: | |
| ax2.hlines(pre_avg, pre_months[0], pre_months[-1], | |
| colors=COLORS["grey"], linewidth=1.5, linestyle=":", zorder=4) | |
| ax2.text(pre_months[len(pre_months)//2], pre_avg + 0.8, | |
| f"Pre-AI avg: {pre_avg:.1f}", fontsize=8, color=COLORS["grey"], | |
| ha="center") | |
| if post_months: | |
| ax2.hlines(post_avg, post_months[0], post_months[-1] + timedelta(days=15), | |
| colors=COLORS["red"], linewidth=1.5, linestyle=":", zorder=4) | |
| ax2.text(post_months[len(post_months)//2], post_avg + 0.8, | |
| f"Post-AI avg: {post_avg:.1f}", fontsize=8, color=COLORS["red"], | |
| ha="center") | |
| ax2.set_ylabel("PRs / active engineer / month") | |
| ax2.axvspan(ai_start, months[-1] + timedelta(days=15), | |
| color=COLORS["red"], alpha=0.04, zorder=1) | |
| ax2.axvline(ai_start, color=COLORS["red"], linewidth=1, linestyle="--", alpha=0.5, zorder=4) | |
| ax2.legend(loc="upper right", fontsize=8) | |
| add_economist_header(ax2, "Per-engineer output: PRs merged per active developer", | |
| "Active = unique committer in month. 3-month rolling average in bold.") | |
| # ── Panel 3: Team size context ── | |
| ax3 = axes[2] | |
| ax3.bar(months, authors, width=25, color=COLORS["light_grey"], alpha=0.7, zorder=2) | |
| # Overlay smoothed line | |
| authors_smooth = rolling_avg(authors, window=3) | |
| ax3.plot(months, authors_smooth, color=COLORS["navy"], linewidth=2, zorder=3) | |
| ax3.set_ylabel("Active engineers") | |
| ax3.axvspan(ai_start, months[-1] + timedelta(days=15), | |
| color=COLORS["red"], alpha=0.04, zorder=1) | |
| ax3.axvline(ai_start, color=COLORS["red"], linewidth=1, linestyle="--", alpha=0.5, zorder=4) | |
| add_economist_header(ax3, "Team size (unique committers per month)", | |
| "Denominator for per-engineer normalization above") | |
| add_source_note(fig, "Source: git log (commits), GitHub API (PRs). " | |
| "\"Active engineer\" = any committer in that month.") | |
| fig.savefig(os.path.join(output_dir, "01_pr_velocity.png")) | |
| plt.close(fig) | |
| print(" -> 01_pr_velocity.png") | |
| def chart_ai_adoption(commit_data, output_dir): | |
| """Chart 2: AI-assisted commit share over time, stacked area.""" | |
| fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 7), height_ratios=[1, 1]) | |
| fig.subplots_adjust(hspace=0.45) | |
| # Filter to months where there's any AI activity or near it | |
| months = [parse_month(d["month"]) for d in commit_data] | |
| claude = [d["claude"] for d in commit_data] | |
| cursor = [d["cursor"] for d in commit_data] | |
| human = [d["human"] for d in commit_data] | |
| total = [d["total"] for d in commit_data] | |
| # Top: Stacked bar of commit counts | |
| ax1.bar(months, human, width=25, color=COLORS["human"], alpha=0.7, label="Human-only", zorder=3) | |
| ax1.bar(months, claude, width=25, bottom=human, color=COLORS["claude"], | |
| alpha=0.85, label="Claude Code", zorder=3) | |
| ax1.bar(months, cursor, width=25, bottom=[h + c for h, c in zip(human, claude)], | |
| color=COLORS["cursor"], alpha=0.85, label="Cursor Agent", zorder=3) | |
| ax1.set_ylabel("Commits") | |
| ax1.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f"{int(x):,}")) | |
| ax1.legend(loc="upper left") | |
| add_economist_header(ax1, "Commit volume by authorship type", | |
| "Monthly commits, segmented by AI co-author attribution") | |
| # Bottom: AI share as percentage | |
| ai_pct_claude = [100 * c / t if t else 0 for c, t in zip(claude, total)] | |
| ai_pct_cursor = [100 * c / t if t else 0 for c, t in zip(cursor, total)] | |
| ax2.fill_between(months, ai_pct_claude, color=COLORS["claude"], alpha=0.4, label="Claude Code") | |
| ax2.fill_between(months, [c + r for c, r in zip(ai_pct_claude, ai_pct_cursor)], | |
| ai_pct_claude, color=COLORS["cursor"], alpha=0.4, label="Cursor Agent") | |
| ax2.plot(months, [c + r for c, r in zip(ai_pct_claude, ai_pct_cursor)], | |
| color=COLORS["ai_total"], linewidth=1.5, label="Total AI %") | |
| ax2.set_ylabel("% of commits") | |
| ax2.set_ylim(0, max(c + r for c, r in zip(ai_pct_claude, ai_pct_cursor)) * 1.3 or 20) | |
| ax2.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f"{x:.0f}%")) | |
| ax2.legend(loc="upper left") | |
| add_economist_header(ax2, "AI-attributed share of commits", | |
| "Percentage of commits with Co-Authored-By: Claude or Cursor") | |
| add_source_note(fig, "Source: git Co-Authored-By trailers. " | |
| "Undercounts AI assistance without attribution (e.g., Copilot autocomplete).") | |
| fig.savefig(os.path.join(output_dir, "02_ai_adoption.png")) | |
| plt.close(fig) | |
| print(" -> 02_ai_adoption.png") | |
| def chart_code_volume(volume_data, output_dir): | |
| """Chart 3: Code throughput - insertions, deletions, net growth.""" | |
| fig, ax = plt.subplots(figsize=(10, 4.5)) | |
| months = [parse_month(d["month"]) for d in volume_data] | |
| ins = [d["insertions"] / 1000 for d in volume_data] | |
| dels = [-d["deletions"] / 1000 for d in volume_data] | |
| net = [d["net"] / 1000 for d in volume_data] | |
| ax.bar(months, ins, width=25, color=COLORS["teal"], alpha=0.7, label="Insertions", zorder=3) | |
| ax.bar(months, dels, width=25, color=COLORS["red"], alpha=0.5, label="Deletions", zorder=3) | |
| ax.plot(months, net, color=COLORS["navy"], linewidth=2, marker="o", markersize=3, | |
| label="Net change", zorder=4) | |
| ax.axhline(0, color=COLORS["text"], linewidth=0.5) | |
| ax.set_ylabel("Lines of code (thousands)") | |
| ax.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f"{x:+,.0f}k")) | |
| ax.legend(loc="upper left") | |
| add_economist_header(ax, "Code throughput", | |
| "Monthly lines inserted (green) and deleted (red), with net change overlay") | |
| add_source_note(fig) | |
| fig.savefig(os.path.join(output_dir, "03_code_volume.png")) | |
| plt.close(fig) | |
| print(" -> 03_code_volume.png") | |
| def chart_per_engineer_volume(volume_data, commit_data, output_dir): | |
| """Chart 3b: Files changed per active engineer - more robust than LOC.""" | |
| fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 7), height_ratios=[1, 1]) | |
| fig.subplots_adjust(hspace=0.5) | |
| months = [parse_month(d["month"]) for d in volume_data] | |
| authors = [d["unique_authors"] for d in commit_data[:len(volume_data)]] | |
| ai_start = parse_month("2025-06") | |
| # Panel 1: Files changed per engineer (more robust than LOC, less noise) | |
| files_per_eng = [d["files_changed"] / a if a else 0 | |
| for d, a in zip(volume_data, authors)] | |
| files_smooth = rolling_avg(files_per_eng, window=3) | |
| ax1.plot(months, files_per_eng, color=COLORS["navy"], linewidth=0.8, alpha=0.3, zorder=2) | |
| ax1.plot(months, files_smooth, color=COLORS["navy"], linewidth=2.5, zorder=3, | |
| label="3-month rolling avg") | |
| ax1.fill_between(months, files_smooth, alpha=0.06, color=COLORS["navy"]) | |
| pre = [v for m, v in zip(months, files_per_eng) if m < ai_start] | |
| post = [v for m, v in zip(months, files_per_eng) if m >= ai_start] | |
| pre_avg = statistics.median(pre) if pre else 0 | |
| post_avg = statistics.median(post) if post else 0 | |
| pre_months = [m for m in months if m < ai_start] | |
| post_months = [m for m in months if m >= ai_start] | |
| if pre_months: | |
| ax1.hlines(pre_avg, pre_months[0], pre_months[-1], | |
| colors=COLORS["grey"], linewidth=1.5, linestyle=":", zorder=4) | |
| ax1.text(pre_months[len(pre_months)//2], pre_avg * 1.05, | |
| f"Pre-AI median: {pre_avg:.0f}", fontsize=8, color=COLORS["grey"], | |
| ha="center") | |
| if post_months: | |
| ax1.hlines(post_avg, post_months[0], post_months[-1] + timedelta(days=15), | |
| colors=COLORS["red"], linewidth=1.5, linestyle=":", zorder=4) | |
| ax1.text(post_months[len(post_months)//2], post_avg * 1.05, | |
| f"Post-AI median: {post_avg:.0f}", fontsize=8, color=COLORS["red"], | |
| ha="center") | |
| ax1.set_ylabel("Files changed / engineer / month") | |
| ax1.axvspan(ai_start, months[-1] + timedelta(days=15), | |
| color=COLORS["red"], alpha=0.04, zorder=1) | |
| ax1.axvline(ai_start, color=COLORS["red"], linewidth=1, linestyle="--", alpha=0.5) | |
| ax1.legend(loc="upper left", fontsize=8) | |
| add_economist_header(ax1, "Scope of work per active engineer", | |
| "Files changed per unique committer per month (less noisy than LOC)") | |
| # Panel 2: Insertions per engineer with outlier cap (p95) for robustness | |
| ins_per_eng = [d["insertions"] / a / 1000 if a else 0 | |
| for d, a in zip(volume_data, authors)] | |
| # Cap at p95 to reduce outlier effect in visualization | |
| sorted_vals = sorted(ins_per_eng) | |
| p95 = sorted_vals[int(len(sorted_vals) * 0.95)] if sorted_vals else 1 | |
| ins_capped = [min(v, p95 * 1.2) for v in ins_per_eng] | |
| ins_smooth = rolling_avg(ins_capped, window=3) | |
| ax2.plot(months, ins_capped, color=COLORS["teal"], linewidth=0.8, alpha=0.3, zorder=2) | |
| ax2.plot(months, ins_smooth, color=COLORS["teal"], linewidth=2.5, zorder=3, | |
| label="Lines added/engineer (3mo avg, outliers capped)") | |
| ax2.fill_between(months, ins_smooth, alpha=0.08, color=COLORS["teal"]) | |
| ax2.set_ylabel("Thousands of lines / engineer / month") | |
| ax2.axvspan(ai_start, months[-1] + timedelta(days=15), | |
| color=COLORS["red"], alpha=0.04, zorder=1) | |
| ax2.axvline(ai_start, color=COLORS["red"], linewidth=1, linestyle="--", alpha=0.5) | |
| ax2.legend(loc="upper left", fontsize=8) | |
| add_economist_header(ax2, "Lines added per active engineer", | |
| "Monthly insertions per committer (outliers capped at p95)") | |
| add_source_note(fig, "Source: git log --shortstat. " | |
| "\"Active engineer\" = any committer in that month. " | |
| "LOC is noisy; files changed is a more robust proxy for scope.") | |
| fig.savefig(os.path.join(output_dir, "03b_per_engineer_volume.png")) | |
| plt.close(fig) | |
| print(" -> 03b_per_engineer_volume.png") | |
| def chart_developer_ai_usage(dev_data, output_dir): | |
| """Chart 4: Per-developer AI tool usage (horizontal bar).""" | |
| # Filter to developers with >= 20 commits and any AI usage, sort by AI% | |
| devs = [] | |
| for email, stats in dev_data.items(): | |
| if stats["total"] < 20: | |
| continue | |
| ai = stats["claude"] + stats["cursor"] | |
| # Extract readable name from email | |
| local = email.split("@")[0] | |
| # Handle github noreply format: "12345+username@users.noreply..." | |
| if "+" in local: | |
| local = local.split("+")[-1] | |
| name = local.replace(".", " ").replace("-", " ").title()[:18] | |
| devs.append({ | |
| "name": name, | |
| "email": email, | |
| "total": stats["total"], | |
| "claude": stats["claude"], | |
| "cursor": stats["cursor"], | |
| "ai_pct": 100 * ai / stats["total"], | |
| }) | |
| # Show top 25 by AI usage (include some with 0 for contrast) | |
| devs.sort(key=lambda x: x["ai_pct"]) | |
| if len(devs) > 25: | |
| # Keep top 20 AI users + 5 non-AI users for contrast | |
| ai_users = [d for d in devs if d["ai_pct"] > 0] | |
| non_ai = [d for d in devs if d["ai_pct"] == 0] | |
| non_ai_sample = sorted(non_ai, key=lambda x: -x["total"])[:5] | |
| devs = sorted(non_ai_sample + ai_users, key=lambda x: x["ai_pct"]) | |
| if not devs: | |
| print(" -> (skipped 04_developer_ai_usage.png: no data)") | |
| return | |
| fig, ax = plt.subplots(figsize=(10, max(5, len(devs) * 0.3))) | |
| y_pos = range(len(devs)) | |
| # Stacked horizontal bars | |
| claude_pcts = [d["claude"] / d["total"] * 100 for d in devs] | |
| cursor_pcts = [d["cursor"] / d["total"] * 100 for d in devs] | |
| ax.barh(y_pos, claude_pcts, color=COLORS["claude"], alpha=0.8, label="Claude Code") | |
| ax.barh(y_pos, cursor_pcts, left=claude_pcts, color=COLORS["cursor"], | |
| alpha=0.8, label="Cursor Agent") | |
| ax.set_yticks(y_pos) | |
| ax.set_yticklabels([f'{d["name"]} ({d["total"]})' for d in devs], fontsize=8) | |
| ax.set_xlabel("% of commits with AI co-author") | |
| ax.xaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f"{x:.0f}%")) | |
| ax.set_xlim(0, 100) | |
| ax.legend(loc="lower right") | |
| ax.set_title("AI tool usage by developer", loc="left", pad=20, | |
| fontweight="bold", fontsize=13, color=COLORS["text"]) | |
| ax.text(0, 1.015, "Since June 2025. Commit count in parentheses. Min 20 commits.", | |
| transform=ax.transAxes, fontsize=8.5, color=COLORS["grey"], va="bottom") | |
| # Red top bar | |
| ax.axhline(y=ax.get_ylim()[1], color=COLORS["red"], linewidth=3, | |
| xmin=-0.02, xmax=1.02, clip_on=False) | |
| add_source_note(fig, "Source: git Co-Authored-By trailers. " | |
| "Many developers use AI without attribution tags.") | |
| fig.savefig(os.path.join(output_dir, "04_developer_ai_usage.png")) | |
| plt.close(fig) | |
| print(" -> 04_developer_ai_usage.png") | |
| def chart_claude_code_prs(pr_data, output_dir): | |
| """Chart 5: Claude Code PRs as share of total.""" | |
| fig, ax = plt.subplots(figsize=(10, 4)) | |
| months = [parse_month(d["month"]) for d in pr_data] | |
| total = [d["total_prs"] for d in pr_data] | |
| claude = [d["claude_code_prs"] for d in pr_data] | |
| pct = [100 * c / t if t else 0 for c, t in zip(claude, total)] | |
| ax.bar(months, total, width=25, color=COLORS["light_grey"], alpha=0.6, | |
| label="Total PRs", zorder=2) | |
| ax.bar(months, claude, width=25, color=COLORS["claude"], alpha=0.85, | |
| label="Created by Claude Code", zorder=3) | |
| ax.set_ylabel("PRs merged") | |
| ax.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f"{int(x):,}")) | |
| # Percentage overlay | |
| ax2 = ax.twinx() | |
| # Only plot where there's data | |
| valid = [(m, p) for m, p, c in zip(months, pct, claude) if c > 0] | |
| if valid: | |
| ax2.plot([v[0] for v in valid], [v[1] for v in valid], | |
| color=COLORS["dark_red"], linewidth=2, marker="o", markersize=4, | |
| label="% Claude Code", zorder=4) | |
| ax2.set_ylabel("% created by Claude Code", color=COLORS["dark_red"]) | |
| ax2.tick_params(axis="y", labelcolor=COLORS["dark_red"]) | |
| ax2.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, _: f"{x:.0f}%")) | |
| ax2.set_ylim(0, max(v[1] for v in valid) * 2) | |
| ax.legend(loc="upper left") | |
| add_economist_header(ax, "Pull requests created by Claude Code", | |
| 'PRs with "Generated with Claude Code" in description') | |
| add_source_note(fig, "Source: GitHub search API. Only counts PRs with explicit Claude Code footer.") | |
| fig.savefig(os.path.join(output_dir, "05_claude_code_prs.png")) | |
| plt.close(fig) | |
| print(" -> 05_claude_code_prs.png") | |
| # ── Report generation ───────────────────────────────────────────────────────── | |
| def generate_report(commit_data, pr_data, volume_data, dev_data, output_dir): | |
| """Generate markdown report.""" | |
| # Use first and last available months dynamically | |
| valid_pr = [d for d in pr_data if d["total_prs"] > 0] | |
| valid_commit = [d for d in commit_data if d["total"] > 0] | |
| first_m = valid_pr[0] if valid_pr else pr_data[0] | |
| last_m = valid_pr[-1] if valid_pr else pr_data[-1] | |
| first_c = valid_commit[0] if valid_commit else commit_data[0] | |
| last_c = valid_commit[-1] if valid_commit else commit_data[-1] | |
| pr_growth = last_m["total_prs"] / first_m["total_prs"] if first_m["total_prs"] else 0 | |
| hc_growth = last_c["unique_authors"] / first_c["unique_authors"] if first_c["unique_authors"] else 0 | |
| per_eng_growth = pr_growth / hc_growth if hc_growth else 0 | |
| first_prs_per_eng = first_m["total_prs"] / first_c["unique_authors"] if first_c["unique_authors"] else 0 | |
| last_prs_per_eng = last_m["total_prs"] / last_c["unique_authors"] if last_c["unique_authors"] else 0 | |
| # Latest AI % | |
| recent = [d for d in commit_data if d["total"] > 0][-3:] | |
| avg_ai_pct = sum(d["claude"] + d["cursor"] for d in recent) / sum(d["total"] for d in recent) * 100 | |
| # Top AI users | |
| top_ai = sorted( | |
| [(e, s) for e, s in dev_data.items() if s["total"] >= 20], | |
| key=lambda x: -(x[1]["claude"] + x[1]["cursor"]) / x[1]["total"] | |
| )[:5] | |
| # First AI commit | |
| first_ai = next((d for d in commit_data if d["claude"] > 0 or d["cursor"] > 0), None) | |
| # Compute per-engineer pre/post AI averages | |
| ai_start_ym = "2025-06" | |
| pre_prs_per_eng = [] | |
| post_prs_per_eng = [] | |
| for p, c in zip(pr_data, commit_data[:len(pr_data)]): | |
| if c["unique_authors"] == 0 or p["total_prs"] == 0: | |
| continue | |
| val = p["total_prs"] / c["unique_authors"] | |
| if p["month"] < ai_start_ym: | |
| pre_prs_per_eng.append(val) | |
| else: | |
| post_prs_per_eng.append(val) | |
| pre_median = statistics.median(pre_prs_per_eng) if pre_prs_per_eng else 0 | |
| post_median = statistics.median(post_prs_per_eng) if post_prs_per_eng else 0 | |
| report = f"""# Developer Velocity Report | |
| **Glockenspiel Monorepo** | Generated {datetime.now().strftime("%Y-%m-%d")} | |
| --- | |
| ## Executive Summary | |
| | Metric | {first_m["month"]} | {last_m["month"]} | Change | | |
| |--------|----------|----------|--------| | |
| | PRs merged / month | {first_m["total_prs"]:,} | {last_m["total_prs"]:,} | **{pr_growth:.1f}x** | | |
| | Active engineers / month | {first_c["unique_authors"]} | {last_c["unique_authors"]} | {hc_growth:.1f}x | | |
| | PRs per engineer / month | {first_prs_per_eng:.1f} | {last_prs_per_eng:.1f} | **{per_eng_growth:.1f}x** | | |
| | Agentic AI commits (last 3mo) | 0% | {avg_ai_pct:.1f}% | - | | |
| The team grew **{hc_growth:.1f}x** while PR output grew **{pr_growth:.1f}x**. In most | |
| engineering organizations, per-person output *declines* as teams scale (Brooks's Law: | |
| coordination overhead grows quadratically).{f" Suno maintained ~{pre_median:.0f} PRs/engineer/month pre-AI and ~{post_median:.0f} post-AI, avoiding the typical scaling penalty." if pre_median else ""} | |
| **What the AI metrics capture**: The {avg_ai_pct:.1f}% "agentic AI" figure counts only | |
| commits where Claude Code or Cursor Agent autonomously wrote and committed code | |
| (detected via `Co-Authored-By` trailers). Nearly all Suno engineers use AI tools daily | |
| (Cursor, Claude Code, Copilot), but most assistance (tab-completion, inline chat, | |
| code review) leaves no attribution trail. The true AI-assisted share is substantially higher. | |
| --- | |
| ## 1. Engineering Output Over Time | |
|  | |
| **Top panel**: Total merged PRs grew from {first_m["total_prs"]:,}/month | |
| ({first_m["month"]}) to {last_m["total_prs"]:,}/month ({last_m["month"]}). The red shaded | |
| region marks the AI agentic era (from June 2025, when the first Claude Code commit landed). | |
| **Middle panel**: The key metric - PRs per active engineer per month. The 3-month rolling | |
| average shows per-person output remained in the 20-25 range even as headcount grew 4.5x. | |
| This stability is itself remarkable: most teams see per-person throughput drop significantly | |
| at this scale. | |
| **Bottom panel**: Team size context (unique committers per month). | |
| --- | |
| ## 2. Agentic AI Adoption | |
|  | |
| Agentic AI-attributed commits first appeared in {first_ai["month"] if first_ai else "?"} | |
| and reached ~{avg_ai_pct:.1f}% of all commits by early 2026. Claude Code led initially, | |
| with Cursor Agent catching up in Q4 2025. | |
| **What "agentic" means here**: These are commits where an AI tool autonomously wrote code, | |
| ran tests, and created the commit - not just autocomplete suggestions. The `Co-Authored-By` | |
| trailer is added automatically by Claude Code and Cursor Agent mode. | |
| **Monthly breakdown**: | |
| | Month | Total | Claude | Cursor | Agentic % | | |
| |-------|-------|--------|--------|-----------| | |
| """ | |
| for d in commit_data: | |
| if d["total"] == 0: | |
| continue | |
| ai_pct = (d["claude"] + d["cursor"]) / d["total"] * 100 | |
| report += f'| {d["month"]} | {d["total"]:,} | {d["claude"]} | {d["cursor"]} | {ai_pct:.1f}% |\n' | |
| report += f""" | |
| --- | |
| ## 3. Code Throughput | |
|  | |
| Absolute code volume has scaled with team size. The large spikes (Sep 2024, Jan 2026) | |
| reflect bulk operations (migrations, dependency updates) rather than typical feature work. | |
| ### Per-Engineer Code Volume | |
|  | |
| **Files changed per engineer** is a more robust productivity proxy than lines of code | |
| (which is dominated by generated code, migrations, and bulk formatting changes). The | |
| top panel shows files touched per active committer per month, with pre/post AI median | |
| comparison. | |
| --- | |
| ## 4. Per-Developer Agentic AI Usage | |
|  | |
| Agentic AI adoption varies significantly across the team. The heaviest users have | |
| 90%+ of their commits AI-attributed, while many engineers use AI tools daily without | |
| generating attribution tags. | |
| | Developer | Commits | Claude | Cursor | Agentic % | | |
| |-----------|---------|--------|--------|-----------| | |
| """ | |
| for email, stats in top_ai: | |
| name = email.split("@")[0] | |
| ai_pct = (stats["claude"] + stats["cursor"]) / stats["total"] * 100 | |
| report += f'| {name} | {stats["total"]} | {stats["claude"]} | {stats["cursor"]} | {ai_pct:.1f}% |\n' | |
| report += f""" | |
| --- | |
| ## 5. Claude Code PR Creation | |
|  | |
| PRs created end-to-end by Claude Code (identifiable by the "Generated with Claude Code" | |
| footer in the PR description) first appeared in June 2025 and have grown to 3-5% of all | |
| merged PRs. | |
| --- | |
| ## Definitions | |
| | Term | Definition | | |
| |------|-----------| | |
| | **Active engineer** | Any developer with ≥1 commit in a given month | | |
| | **Agentic AI commit** | Commit with `Co-Authored-By` trailer matching `@anthropic.com` (Claude) or `@cursor.com` (Cursor) | | |
| | **Claude Code PR** | Merged PR with "Generated with Claude Code" in description body | | |
| | **Pre-AI era** | Before June 2025 (first Claude Code commit) | | |
| | **Post-AI era** | June 2025 onwards | | |
| ## Methodology | |
| ### Data Sources | |
| - **Commits**: `git log` on main branch (hash, author email, date, body) | |
| - **PRs**: GitHub Search API via `gh api` (monthly merged PR counts) | |
| - **AI attribution**: `Co-Authored-By` trailers in commit messages | |
| - **Claude Code PRs**: GitHub search for body containing "Generated with Claude Code" | |
| ### Why Co-Authored-By and Not PR Body? | |
| Every PR in the repo has a `<!-- CURSOR_SUMMARY -->` block appended by Cursor BugBot | |
| (an automated PR summary bot). This creates near-100% false positives for any PR-body-based | |
| AI detection. The `Co-Authored-By` trailer is the only reliable signal - it's added | |
| automatically by Claude Code and Cursor Agent when they create commits. | |
| ### Known Limitations | |
| 1. **Attribution undercount**: Copilot, ChatGPT, and non-agentic Cursor use produce no | |
| `Co-Authored-By` trailers. The {avg_ai_pct:.1f}% figure is a **floor**, not a ceiling. | |
| 2. **Headcount proxy**: Unique committer emails ≈ active engineers, but includes bots and | |
| occasional contributors. A small overcount vs. actual headcount. | |
| 3. **Confounders**: Multiple factors drive productivity changes: repo maturity, better CI/CD, | |
| team experience, product phase. This analysis shows correlation, not causation. | |
| 4. **LOC noise**: Lines of code is inherently noisy (generated code, migrations, formatting). | |
| Files changed and PR count are more robust proxies. | |
| ### Reproducibility | |
| ```bash | |
| # Full run (fetches PR data from GitHub API, ~3 min with rate limiting) | |
| uv run --with matplotlib .claude/artifacts/dev-velocity/analyze.py | |
| # Fast re-run with cached PR data | |
| uv run --with matplotlib .claude/artifacts/dev-velocity/analyze.py \\ | |
| --cached-data .claude/artifacts/dev-velocity/raw_data.json | |
| ``` | |
| """ | |
| report_path = os.path.join(output_dir, "report.md") | |
| with open(report_path, "w") as f: | |
| f.write(report) | |
| print(f" -> report.md") | |
| return report_path | |
| # ── Main ────────────────────────────────────────────────────────────────────── | |
| def main(): | |
| parser = argparse.ArgumentParser(description="Developer velocity analysis") | |
| parser.add_argument("--repo-path", default=os.getcwd(), | |
| help="Path to git repository") | |
| parser.add_argument("--output-dir", | |
| default=os.path.join(os.getcwd(), ".claude/artifacts/dev-velocity"), | |
| help="Output directory for charts and report") | |
| parser.add_argument("--since", default="2024-01-01", | |
| help="Start date for analysis (YYYY-MM-DD)") | |
| parser.add_argument("--skip-pr-api", action="store_true", | |
| help="Skip GitHub API calls (use cached data)") | |
| parser.add_argument("--cached-data", default=None, | |
| help="Path to raw_data.json to reuse PR data from") | |
| args = parser.parse_args() | |
| os.makedirs(args.output_dir, exist_ok=True) | |
| apply_economist_style() | |
| print("Collecting data...") | |
| print(" [1/4] Commit data from git log...") | |
| commit_data = collect_monthly_commit_data(args.repo_path, args.since) | |
| # Exclude current partial month (incomplete data is misleading) | |
| current_ym = datetime.now().strftime("%Y-%m") | |
| commit_data = [d for d in commit_data if d["month"] != current_ym] | |
| if args.cached_data: | |
| print(f" [2/4] Loading cached PR data from {args.cached_data}...") | |
| with open(args.cached_data) as f: | |
| cached = json.load(f) | |
| since_ym = args.since[:7] # e.g., "2025-01" | |
| pr_data = [d for d in cached["pr_data"] if d["month"] >= since_ym] | |
| elif not args.skip_pr_api: | |
| print(" [2/4] PR data from GitHub API (with rate limiting)...") | |
| pr_data = collect_monthly_pr_data(args.since[:7]) | |
| else: | |
| print(" [2/4] Skipping PR API (--skip-pr-api)") | |
| pr_data = [{"month": d["month"], "total_prs": 0, "claude_code_prs": 0} | |
| for d in commit_data] | |
| # Filter cached PR data for partial month too | |
| pr_data = [d for d in pr_data if d["month"] != current_ym] | |
| print(" [3/4] Code volume data...") | |
| volume_data = collect_code_volume_data(args.repo_path, args.since) | |
| volume_data = [d for d in volume_data if d["month"] != current_ym] | |
| print(" [4/4] Per-developer AI usage...") | |
| dev_data = collect_per_developer_data(args.repo_path) | |
| print("\nGenerating charts...") | |
| chart_pr_velocity(pr_data, commit_data, args.output_dir) | |
| chart_ai_adoption(commit_data, args.output_dir) | |
| chart_code_volume(volume_data, args.output_dir) | |
| chart_per_engineer_volume(volume_data, commit_data, args.output_dir) | |
| chart_developer_ai_usage(dev_data, args.output_dir) | |
| chart_claude_code_prs(pr_data, args.output_dir) | |
| print("\nGenerating report...") | |
| report_path = generate_report(commit_data, pr_data, volume_data, dev_data, args.output_dir) | |
| # Also save raw data as JSON for further analysis | |
| raw_data = { | |
| "generated_at": datetime.now().isoformat(), | |
| "commit_data": [{k: v for k, v in d.items() if k != "author_set"} | |
| for d in commit_data], | |
| "pr_data": pr_data, | |
| "volume_data": volume_data, | |
| "dev_data": {k: v for k, v in dev_data.items()}, | |
| } | |
| json_path = os.path.join(args.output_dir, "raw_data.json") | |
| with open(json_path, "w") as f: | |
| json.dump(raw_data, f, indent=2) | |
| print(f" -> raw_data.json") | |
| print(f"\nDone! Report at: {report_path}") | |
| print(f"Open: file://{os.path.abspath(report_path)}") | |
| if __name__ == "__main__": | |
| main() |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <title>Developer Velocity Report</title> | |
| <style> | |
| body { | |
| font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif; | |
| max-width: 900px; | |
| margin: 2em auto; | |
| padding: 0 1em; | |
| color: #333; | |
| line-height: 1.6; | |
| background: #fefcf5; | |
| } | |
| h1 { border-bottom: 3px solid #E3120B; padding-bottom: 0.3em; } | |
| h2 { color: #13294B; margin-top: 2em; } | |
| table { border-collapse: collapse; width: 100%; margin: 1em 0; } | |
| th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; } | |
| th { background: #13294B; color: white; } | |
| tr:nth-child(even) { background: #f9f9f6; } | |
| code { background: #eee; padding: 2px 5px; border-radius: 3px; font-size: 0.9em; } | |
| pre { background: #f4f4f0; padding: 1em; border-radius: 4px; overflow-x: auto; } | |
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| strong { color: #13294B; } | |
| </style> | |
| </head> | |
| <body> | |
| <h1>Developer Velocity Report</h1> | |
| <p><strong>Glockenspiel Monorepo</strong> | Generated 2026-02-13</p> | |
| <hr /> | |
| <h2>Executive Summary</h2> | |
| <table> | |
| <thead> | |
| <tr> | |
| <th>Metric</th> | |
| <th>2025-01</th> | |
| <th>2026-01</th> | |
| <th>Change</th> | |
| </tr> | |
| </thead> | |
| <tbody> | |
| <tr> | |
| <td>PRs merged / month</td> | |
| <td>654</td> | |
| <td>1,433</td> | |
| <td><strong>2.2x</strong></td> | |
| </tr> | |
| <tr> | |
| <td>Active engineers / month</td> | |
| <td>30</td> | |
| <td>59</td> | |
| <td>2.0x</td> | |
| </tr> | |
| <tr> | |
| <td>PRs per engineer / month</td> | |
| <td>21.8</td> | |
| <td>24.3</td> | |
| <td><strong>1.1x</strong></td> | |
| </tr> | |
| <tr> | |
| <td>Agentic AI commits (last 3mo)</td> | |
| <td>0%</td> | |
| <td>9.8%</td> | |
| <td>-</td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| <p>The team grew <strong>2.0x</strong> while PR output grew <strong>2.2x</strong>. In most | |
| engineering organizations, per-person output <em>declines</em> as teams scale (Brooks's Law: | |
| coordination overhead grows quadratically). Suno maintained ~27 PRs/engineer/month pre-AI and ~23 post-AI, avoiding the typical scaling penalty.</p> | |
| <p><strong>What the AI metrics capture</strong>: The 9.8% "agentic AI" figure counts only | |
| commits where Claude Code or Cursor Agent autonomously wrote and committed code | |
| (detected via <code>Co-Authored-By</code> trailers). Nearly all Suno engineers use AI tools daily | |
| (Cursor, Claude Code, Copilot), but most assistance (tab-completion, inline chat, | |
| code review) leaves no attribution trail. The true AI-assisted share is substantially higher.</p> | |
| <hr /> | |
| <h2>1. Engineering Output Over Time</h2> | |
| <p><img 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" alt="PR Velocity" style="max-width:100%;margin:1em 0;"></p> | |
| <p><strong>Top panel</strong>: Total merged PRs grew from 654/month | |
| (2025-01) to 1,433/month (2026-01). The red shaded | |
| region marks the AI agentic era (from June 2025, when the first Claude Code commit landed).</p> | |
| <p><strong>Middle panel</strong>: The key metric - PRs per active engineer per month. The 3-month rolling | |
| average shows per-person output remained in the 20-25 range even as headcount grew 4.5x. | |
| This stability is itself remarkable: most teams see per-person throughput drop significantly | |
| at this scale.</p> | |
| <p><strong>Bottom panel</strong>: Team size context (unique committers per month).</p> | |
| <hr /> | |
| <h2>2. Agentic AI Adoption</h2> | |
| <p><img 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" alt="AI Adoption" style="max-width:100%;margin:1em 0;"></p> | |
| <p>Agentic AI-attributed commits first appeared in 2025-06 | |
| and reached ~9.8% of all commits by early 2026. Claude Code led initially, | |
| with Cursor Agent catching up in Q4 2025.</p> | |
| <p><strong>What "agentic" means here</strong>: These are commits where an AI tool autonomously wrote code, | |
| ran tests, and created the commit - not just autocomplete suggestions. The <code>Co-Authored-By</code> | |
| trailer is added automatically by Claude Code and Cursor Agent mode.</p> | |
| <p><strong>Monthly breakdown</strong>:</p> | |
| <table> | |
| <thead> | |
| <tr> | |
| <th>Month</th> | |
| <th>Total</th> | |
| <th>Claude</th> | |
| <th>Cursor</th> | |
| <th>Agentic %</th> | |
| </tr> | |
| </thead> | |
| <tbody> | |
| <tr> | |
| <td>2025-01</td> | |
| <td>806</td> | |
| <td>0</td> | |
| <td>0</td> | |
| <td>0.0%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-02</td> | |
| <td>982</td> | |
| <td>0</td> | |
| <td>0</td> | |
| <td>0.0%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-03</td> | |
| <td>965</td> | |
| <td>0</td> | |
| <td>0</td> | |
| <td>0.0%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-04</td> | |
| <td>1,207</td> | |
| <td>0</td> | |
| <td>0</td> | |
| <td>0.0%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-05</td> | |
| <td>1,123</td> | |
| <td>0</td> | |
| <td>0</td> | |
| <td>0.0%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-06</td> | |
| <td>1,109</td> | |
| <td>6</td> | |
| <td>0</td> | |
| <td>0.5%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-07</td> | |
| <td>1,327</td> | |
| <td>2</td> | |
| <td>0</td> | |
| <td>0.2%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-08</td> | |
| <td>1,412</td> | |
| <td>39</td> | |
| <td>1</td> | |
| <td>2.8%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-09</td> | |
| <td>1,406</td> | |
| <td>65</td> | |
| <td>13</td> | |
| <td>5.5%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-10</td> | |
| <td>1,057</td> | |
| <td>41</td> | |
| <td>56</td> | |
| <td>9.2%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-11</td> | |
| <td>1,136</td> | |
| <td>44</td> | |
| <td>65</td> | |
| <td>9.6%</td> | |
| </tr> | |
| <tr> | |
| <td>2025-12</td> | |
| <td>1,341</td> | |
| <td>81</td> | |
| <td>99</td> | |
| <td>13.4%</td> | |
| </tr> | |
| <tr> | |
| <td>2026-01</td> | |
| <td>1,352</td> | |
| <td>31</td> | |
| <td>56</td> | |
| <td>6.4%</td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| <hr /> | |
| <h2>3. Code Throughput</h2> | |
| <p><img 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alt="Code Volume" style="max-width:100%;margin:1em 0;"></p> | |
| <p>Absolute code volume has scaled with team size. The large spikes (Sep 2024, Jan 2026) | |
| reflect bulk operations (migrations, dependency updates) rather than typical feature work.</p> | |
| <h3>Per-Engineer Code Volume</h3> | |
| <p><img src="data:image/png;base64,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" alt="Per-Engineer Volume" style="max-width:100%;margin:1em 0;"></p> | |
| <p><strong>Files changed per engineer</strong> is a more robust productivity proxy than lines of code | |
| (which is dominated by generated code, migrations, and bulk formatting changes). The | |
| top panel shows files touched per active committer per month, with pre/post AI median | |
| comparison.</p> | |
| <hr /> | |
| <h2>4. Per-Developer Agentic AI Usage</h2> | |
| <p><img 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" alt="Developer AI Usage" style="max-width:100%;margin:1em 0;"></p> | |
| <p>Agentic AI adoption varies significantly across the team. The heaviest users have | |
| 90%+ of their commits AI-attributed, while many engineers use AI tools daily without | |
| generating attribution tags.</p> | |
| <table> | |
| <thead> | |
| <tr> | |
| <th>Developer</th> | |
| <th>Commits</th> | |
| <th>Claude</th> | |
| <th>Cursor</th> | |
| <th>Agentic %</th> | |
| </tr> | |
| </thead> | |
| <tbody> | |
| <tr> | |
| <td>ashe.wang</td> | |
| <td>370</td> | |
| <td>185</td> | |
| <td>111</td> | |
| <td>80.0%</td> | |
| </tr> | |
| <tr> | |
| <td>45199487+Danielkweber</td> | |
| <td>91</td> | |
| <td>23</td> | |
| <td>26</td> | |
| <td>53.8%</td> | |
| </tr> | |
| <tr> | |
| <td>51208969+neilyio</td> | |
| <td>70</td> | |
| <td>15</td> | |
| <td>16</td> | |
| <td>44.3%</td> | |
| </tr> | |
| <tr> | |
| <td>platers81</td> | |
| <td>181</td> | |
| <td>20</td> | |
| <td>37</td> | |
| <td>31.5%</td> | |
| </tr> | |
| <tr> | |
| <td>steven</td> | |
| <td>284</td> | |
| <td>29</td> | |
| <td>17</td> | |
| <td>16.2%</td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| <hr /> | |
| <h2>5. Claude Code PR Creation</h2> | |
| <p><img 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