Merge Infrastructure for AI-Generated Code

Ship at scale.
Fix at scale.
Trust every merge.

AI-generated code is exploding. bugs.doctor is the safety layer that automatically fixes and merges bugs — only when it's provably safe.

Install the CLI locally:

curl -fsSL https://bugs.doctor/install.sh | sh npm install -g @bugs.doctor/cli
Verifier-first Anti-hallucination Calibrated confidence
TARGETFixable OnlyPATCHGenerate FixVERIFYCompile + TestSCORECalibrated ConfidenceMERGEAuto-merge If SafeDELIVERShip + Learn96% confidenceReady to mergebugs.doctor: fix, verify,and merge — only when safe
The Problem

AI writes more code than humans can review.

PR volume is increasing exponentially. Review bandwidth is not. AI tools add more comments, not less work.

At scale, the real problem is not finding bugs — it is deciding what you can trust enough to merge.

📈 PR volume increasing exponentially
👤 Review bandwidth flat
📢 AI tools add more comments, not less work
🚫 Scale becomes a bottleneck
Consider refactoring...This might be a bug?Nice change! 👍Variable naming could improveMissing null check?Consider using const😵 47 comments on this PR
The Shift

Not another reviewer. A merge decision engine.

From review assistance to trusted automation.

Traditional Tools

Review assistance

💬 Suggest
📝 Comment
👤 Leave the decision to humans
bugs.doctor

Merge decision engine

🔧 Fixes
Verifies
🚀 Decides if it is safe to merge
From review assistance → to trusted automation
How it works

Built to earn trust before every merge.

A deterministic pipeline that targets, fixes, verifies, scores, and merges — only when safe.

01 / TARGET

Target only fixable issues

Not everything — only what can be safely resolved. Ensemble models with repo context filter noise at the source.

02 / PATCH

Generate a real patch

Clean, minimal, production-ready diffs. Style-preserving. Not suggestions — actual code changes.

03 / VERIFY

Verify rigorously

Must compile. Must pass tests. Generates additional checks. Nothing ships without passing real gates.

04 / SCORE

Score confidence

Calibrated probability — not labels. 7-factor weighted scoring. Only above your threshold surfaces.

05 / MERGE

Merge automatically (optional)

Only above your safety bar. Every accepted or dismissed fix tunes the next review.

Precision-Recall CurveRecallPrecisionOthersbugs.doctor0.75 threshold
Trust is measurable

Trust is measurable and controllable.

You do not "hope" it works — you define the risk. Set your own merge threshold, see expected precision, tune per repo or team.

96%
Probability this fix is correct
auto_merge_if confidence >= 0.95
Outcomes

What happens when you can trust every merge.

Scale stops being a bottleneck.

20–40%

Trivial fixes auto-merged

Null-deref, off-by-one, unused imports — fixed and merged without human review, when safe.

Zero-review merges
Near-zero

AI noise

Only fixable, verifiable issues surface. No vague suggestions. No hallucinated bugs. No comment fatigue.

High signal
Faster

CI to deploy cycle

Fewer review interruptions. Smaller PRs move faster. Developers focus on what matters.

Velocity
Integration

Fits directly into your delivery pipeline.

A safety layer in your CI, not another tool in your PR. Works with your existing tests and tooling.

GitHub App (PR-native)
🔌 CI step (recommended)
🧪 Works with your existing tests
Seamless CI/CD integration
- name: bugs.doctor autofix run: bugsdoctor fix --auto-merge-threshold=0.95

Install the CLI locally:

curl -fsSL https://bugs.doctor/install.sh | sh # or npm install -g @bugs.doctor/cli
PR openedfeat: add user authbugs.doctor analyzing...Confidence: 96%Auto-merged1 fix applied, 0 manual review needed🚀
Comparison

Others suggest. bugs.doctor ships.

Fix → verify → merge safely.

CategoryWhat they doLimitation
AI PR reviewersComments & suggestionsYou still review everything
IDE assistantsHelp write codeNo guarantee of correctness
Post-incident toolsFix after breakageToo late — bugs already shipped
Static analysisRule-based detectionNo automation
bugs.doctorFix → verify → merge safely

Built for the era of agentic coding.

AI will continue to increase code volume. The only way to keep up is trusted automation.

Ship at scale. Fix at scale. Trust every merge.