Pipeline
Every issue gets a traceable path to a merged PR. It moves through named agents and a fixed set of states, from intake to a merged pull request.
See the pipelineColony runs the lifecycle of an engineering issue — from intake, through analysis and implementation, to a reviewed, merged pull request. Colony runs its own development on this pipeline — 2,500+ merged PRs all-time — and has been in production with an enterprise customer since October 2026.
Each card leads with what you get, then how Colony does it.
Every issue gets a traceable path to a merged PR. It moves through named agents and a fixed set of states, from intake to a merged pull request.
See the pipelineYour engineering standards hold at machine speed. Review checks, merge controls and conventions enforcement keep them in force.
See governanceYou can see what each issue cost and who did what. Per-issue cost attribution, an audit trail and a public ledger of Colony's own development.
See observabilityRun Colony where your security posture needs it. Self-host on your infrastructure or run it managed in Colony Cloud.
Compare self-host and cloudFit the pipeline to your process, not the reverse. Start from the default workflow, adapt it in a versioned file your team reviews, and extend it with an Apache-2.0 SDK, plugins and MCP.
See workflowsAgents that learn from past work. On Colony's own repositories, a deterministic Code Map, post-issue lessons from the Chronicler, semantic retrieval into agent prompts, and self-improvement tracks run today.
See intelligenceGoals and risk limits set by the operator; the Strategist turns them into a weekly plan. On Colony's own repositories, it re-plans from pipeline signals and work inside the charter envelope ships automatically; anything bigger escalates to a person.
See the StrategistEverything on this page ships today and runs Colony’s own development.
We do not publish outcome ranges we cannot defend. Here are the six numbers we will put in your pilot contract — and the mistake to avoid when reading them. Commitment ranges live on the pilot page, where they belong.
Issues closed per week, measured per active repo. Same team size, vs. your pre-Colony baseline.
Median time from issue filed to PR merged, on Colony-handled work. Reported per repo, weekly.
Tokens plus worker time, attributed per issue. Visible in the same ledger your engineers see — not a separate finance dashboard.
Defects that originated in Colony work, divided by Colony PR count. Read against your pre-Colony defect baseline.
Share of issues handled end-to-end without human steering. The number that says how much of the pipeline is actually autonomous.
Number of inspect-rework loops before a PR clears. Trends toward one as the conventions file stabilizes.
The most common mistake is optimizing for one metric in isolation. Throughput up and escape rate up means broken code shipping faster. Read the basket.
Colony expands your team. The four roles below describe how work flows once the pipeline is running — activity-based, drawn from the titles you already have. A person can fill more than one; on small teams, one person fills all four.
Common fit PMs, BAs, product designers, sometimes engineers.
Common fit Developers, tech leads, architects.
Common fit Senior engineers, architects, platform teams.
Common fit Engineering managers, directors, VPs of engineering.
Most adoption work in the first ninety days is concentrated in two places: Authors learning structured issue writing (three to four weeks; the LLM-assisted drafting workflow shortens it), and Operators tuning the conventions file from real review feedback. The other two roles read the dashboards.
Pilot scope back in two business days. Fixed-fee, time-limited, yours to walk away from.