Contribution.dev
Contribution.dev turns the dark output of AI-assisted software work into measurable contribution value. Start with a private agentic-readiness audit, then connect AI spend to engineering outcomes and business outcomes.
contribution analyze --since 90d
Your repo is ready in the small, risky in the large.
Agents have clear paths for focused backend fixes. Larger behavior-changing work needs better validation guidance before review.
B
readiness
Medium
confidence
0
raw uploads
Next action
Document validation and add one adjacent test before the next behavior-changing PR.
Readiness evidence
Repo grade, not person score#142
Auth redaction tests
Confidence: High
#137
Profile export shape
Confidence: Medium
Phase 1: Agentic readiness
Find where agents will succeed or thrash.
The CLI reads instructions, architecture cues, validation setup, tests, churn, risky paths, and optional workflow notes. It turns local repo evidence into the highest-ROI fixes before the next PR.
Agentic readiness audit
Scan instructions, architecture cues, validation setup, tests, churn, and risky paths locally.
GitHub metadata when requested
Add PRs, reviews, checks, comments, and durability evidence only when you choose.
Durability evidence
See which changes stayed stable, churned, reverted, or lacked enough evidence to trust.
Weakness map
Find patterns around instructions, tests, context bloat, churn, risky paths, review burden, and docs.
Private report
Write report.md with readiness evidence, confidence, limits, and highest-ROI next actions.
Public-safe exports
Create profile and share-card JSON without private paths, raw diffs, spend data, or weaknesses by default.
Start with repo readiness.
Run the CLI locally. Read the readiness evidence. Fix the highest-leverage gap before an agent or reviewer pays for it. Share only the proof you choose.
Run the CLI
Scan a local repo or public Git URL without uploading raw code by default.
Read readiness evidence
See instruction quality, validation setup, tests, churn, risky paths, and confidence notes.
Fix the top gap
Improve the highest-ROI issue before an agent or reviewer spends time on it.
Share selectively
Export positive proof only when it is safe, accurate, and worth sharing.
Roadmap
The roadmap is the full ROI loop.
Phase 1 measures repo readiness. Phase 2 connects AI spend to durable engineering outcomes. Phase 3 connects engineering work to business outcomes. The wedge is software because the receipts already exist.
Phase 1
Agentic readiness
Grade repo readiness and show the five highest-ROI improvements for AI-assisted development.
Phase 2
Engineering ROI
Connect token spend, model cost, review attention, churn, reverts, and production survival to durable engineering value.
Phase 3
Product ROI
Connect durable engineering work to adoption, retention, revenue, support, and customer outcomes.
Trust starts with clear boundaries.
No leaderboard. No developer worth score. No token spend scoreboard. Contribution.dev reviews the evidence, shows the limits, and leaves you in control.
Private by default
The CLI does not upload raw code, raw diffs, secrets, author emails, or private paths by default. Public exports fail closed when redaction cannot be trusted.
Product boundaries
- No developer worth score
- No leaderboard
- No automatic raw code upload
- No AI-code detector claims
- No token ROI without attribution
- No business ROI without outcome data
Run a readiness audit.
Find the five changes most likely to make agents faster, safer, and less wasteful in this repo.