722
Commits
61
PRs Merged
98
Branches
8
Days
The Dashboard — all agents, one view
Agent Orchestrator Dashboard
Live terminal — watch agents work in real time
Agent Orchestrator Terminal View
43,413
lines of TypeScript
18,501
Production
24,912
Tests
3,288
Test Cases
17
Plugins
Agents never sleep
Commits per hour across 7 days — agents don't need coffee breaks
PRs merged per day
1
Feb 13
27
Feb 14
5
Feb 15
8
Feb 16
4
Feb 17
11
Feb 18
4
Feb 19
1
Feb 20
84% of PRs
created by AI agents
86
AI-created PRs
16
Human PRs
1,013
Co-author trailers
Commits per day
180
Feb 13
137
Feb 14
74
Feb 15
79
Feb 16
95
Feb 17
81
Feb 18
100
Feb 19
1
Feb 20
500+ agent-hours
in 24 human-hours
20× leverage
41 CI failures
All self-corrected
by agents
423
CI Successes
12
Max retries (ao-58)
84.6%
First-pass success
Commit timelines per branch — 98 branches across 8 days
After Day 4,
I stopped writing code
entirely.
1,016 review comments
700 by Bugbot · 303 agent replies
13 by human reviewers
8 plugin slots — no lock-in
Runtime
tmux
process · docker · k8s · ssh · e2b
Agent
Claude Code
Codex · Aider · OpenCode · Goose
Workspace
worktree
clone · copy
Tracker
GitHub
Linear · Jira
SCM
GitHub
GitLab · Bitbucket
Notifier
Desktop
Slack · Discord · Webhook
Terminal
iTerm2
Web
Lifecycle
Core
Custom
Fully automated pipeline
📋
Issue
→
🚀
Spawn
→
🌿
Worktree
→
💻
Code
→
🔀
PR
→
⚙️
CI
→
👀
Review
→
✅
Merge

❌ Before

👀 Checking tabs — which agent is done?
📋 Reading CI logs manually
📎 Copy-pasting review comments
🌿 Managing branches by hand
🔄 Context-switching every 5 minutes
😩 Babysitting instead of building

✅ After

🗺️ Feed it your roadmap
🚀 Orchestrator plans & spawns
🔧 CI failures auto-fixed
💬 Reviews forwarded to agents
📊 Dashboard shows everything
🧠 You think strategy. Agents execute.
More test code
than production code
1.35 : 1 test-to-code ratio
Spawn agents.
Step away.
Ship faster.
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