Your IP stays yours
Every line of code, prompt, and product plan is committed to your repositories under your license - no vendor lock-in, no black-box artifacts you can never take with you.
For CTOs
Increase AI development velocity without losing governance or ownership
Measure whether AI-assisted delivery is getting faster and holding its quality bar, with every source artifact remaining in systems your company controls.
Start with one repository. Keep your tools, workflow, and code ownership.
What you will see
An AI delivery baseline you can govern
Start with one repository to see what AI-assisted work shipped, how it moved through review, and whether it created durable velocity instead of more volume.
Your IP stays yours
Every line of code, prompt, and product plan is committed to your repositories under your license - no vendor lock-in, no black-box artifacts you can never take with you.
Outcome measurement, not activity theater
Track DORA metrics, cycle time, and PR quality alongside AI-assisted output so you can prove delivery is actually improving, not just moving.
Governance built into the workflow
Acceptance criteria, review gates, and audit trails run inside the same pipeline that ships the work, so compliance is a byproduct rather than a separate process.
Read-only GitHub access
Choose exactly which repo
No credit card required
Built for your operating questions
Turn delivery data into a decision you can make this week
Outcome measurement, not activity theater
Track DORA metrics, cycle time, and PR quality alongside AI-assisted output so you can prove delivery is actually improving, not just moving.
Governance built into the workflow
Acceptance criteria, review gates, and audit trails run inside the same pipeline that ships the work, so compliance is a byproduct rather than a separate process.
Full traceability from plan to production
Link every product plan to its commits, PRs, and released features so you can answer "why did we build this and did it land" without a forensic investigation.
Tie engineering to business outcomes
Set outcome targets on features and watch whether shipped AI-generated code actually moves the metric it was supposed to move.
Runs on the stack you already own
Connects to GitHub, GitLab, and your existing CI without asking you to migrate repos, rewrite pipelines, or hand over your source to a proprietary platform.
From repo to baseline
Useful signal without a rollout project
- 01
Connect one repository safely
Select a GitHub repository with read-only access. Your source, workflow, and intellectual property remain under your control.
- 02
Establish the delivery truth
Backfill quality, rework, cycle time, and AI contribution signals from work that has already passed through your engineering system.
- 03
Set an adoption policy from evidence
Use the baseline to decide where AI is improving velocity, where review needs strengthening, and where governance should intervene.
Developer velocity
Know when AI is accelerating delivery and when it is shifting the cost
Raw code generation can look like velocity while review queues and rework quietly grow. FeatureFactory measures the whole path to durable change so governance responds to observed risk.
Explore developer velocity- Separate increases in generated code volume from durable delivery gains.
- Track whether speed survives review, rework, and production quality checks.
- Keep the evidence traceable to repositories and artifacts your company owns.
Adopt AI development without surrendering your IP
The fastest way to lose control of your engineering org is to route it through a platform that owns the output. Enterprise "software factories" promise speed and quietly keep the artifacts - the code, the prompts, the roadmap - inside their walls. When the contract ends, so does your leverage.
FeatureFactory takes the opposite stance. Every artifact it produces is committed to your repositories, under your license, on infrastructure you already control. The platform orchestrates and measures; it never becomes a dependency you cannot unwind. Our manifesto spells out exactly why customer-owned IP is non-negotiable.
That means you can adopt AI-assisted development aggressively - Claude Code, Cursor, Copilot - while keeping the exit costs at zero. If you ever walk away, you walk away with everything.
Govern and measure by outcomes, not activity
AI can generate an enormous amount of code. That is precisely why raw output is a dangerous metric. As a CTO you need to know whether the code that shipped actually improved delivery and moved the business - and whether it was reviewed and safe to run.
FeatureFactory connects planning decisions to production results. You get DORA metrics, cycle time, and PR quality analytics segmented by AI-assisted versus human work, plus outcome targets tied to each feature so measurement is honest rather than flattering.
Acceptance criteria, review gates, and audit history stay with the work from planning through release. That makes governance part of everyday delivery instead of a separate process that slows teams down. See it end to end in the measure product.
Questions before you connect
Yes. All output - code, product plans, acceptance criteria, and configuration - lands in your repositories under your license. FeatureFactory is an orchestration and measurement layer, not a code escrow. See our manifesto for the full position on customer-owned IP.
Keep exploring
Establish the AI delivery baseline on one repository
Analyze one repository free before making the next tooling, governance, or engineering investment decision.
Analyze one repo freeOne repository. No credit card. Read-only access.