StopapprovingPRsinthedark.
RepoKit shows real impact, deploy risk, rationale, affected flows, and critical gaps before merge. For anyone who needs to review with confidence without becoming a bottleneck.
TheCostof"LooksSimple"
The Zombie Bug
A six-month-old decision is reverted because nobody remembers why it existed. The bug comes back, the incident repeats, and the team realizes too late the answer was buried in an old PR with no preserved rationale.
The Endless Onboarding
Your new senior takes three weeks to understand architecture because docs are in Notion, code is somewhere else, and critical logic lives in the head of someone who already left.
The Silent Change
A small env var tweak breaks checkout. Alerts trigger only when revenue drops. The runbook was outdated and nobody saw that this variable touched a critical flow.
The $20k/Month Human Google
Your most expensive senior spends half the day answering questions that should already be documented. Without a live base, the team becomes a queue and one person becomes the bottleneck.
Whatyouneedtoknowbeforeapproving
A PR can look simple until it touches a critical flow, config, retry, queue, or payments. RepoKit shows this before merge.
PR #1284 - Retry tweak in payments
Developer changed timeout and retry events. It looked simple. RepoKit exposed invisible risk in seconds:
The team blocked deploy, fixed critical points, updated the live base, and released with zero production incidents.
This change touches checkout and payments with elevated regression risk.
Want this level of visibility in your PR workflow?
PullRequestImpactAnalysis-WhatRepoKitrevealsbeforedeploy
For every commit and PR, evidence your team cannot see from diff alone
Smart summary
Understand what truly changed without manually reading dozens of files
Impact radius
Shows which critical flows are exposed and how strongly
Risk score
Classifies whether change is ready or should block deploy
Affected runbooks
Identifies live-base pages now out of sync with code
Mandatory tests
Prioritizes validations to avoid production regressions
Change rationale
Preserves why the change exists with historical traceability
Blind Approvals vs. Confident Approvals: PR Review with Evidence
Without RepoKit, reviewers approve with assumptions. With RepoKit, every approval comes with risk score, impact analysis, and traced rationale.
Review sees only diff and misses impact across flows
Decision rationale lives in calls, chats, or tickets and disappears
Deploy moves forward without clear test priorities
A $20k/month senior loses 50% of time as the team's human Google
Review includes impact, risk score, affected docs, and readiness
Change rationale is preserved with source traceability
Critical tests are suggested before deploy, not after incidents
Live base reduces slow onboarding and key-person dependency
In 2026, static documentation is a technical risk. Use change intelligence.
HowRepoKitbuildsreviewerconfidence
From PR open to approval, with evidence at every step
Connect your code provider
GitHub, GitLab, Bitbucket, or Azure DevOps with least-privilege OAuth (read-only by default, PR comment/review/status integrations only when enabled).
Select your critical repositories
You control scope and can start with the repos that matter most.
RepoKit generates a live system base
Architecture, flows, facts, and runbooks in a navigable, versioned layer.
Every commit and PR gets change analysis
Facts Engine detects relevant deltas and extracts source context.
Impact Assessment predicts what can break
Risk score, affected flows, stale docs, and priority tests in one view.
Reviewers decide with confidence before approving
With Change Rationale and full traceability, approvals are backed by evidence, not assumptions.
Aresponsiblereviewerneedstoknowwhyitchanged,notjustwhatchanged.
Change Rationale: the evidence behind every confident approval
When rationale is lost, teams undo good decisions, reintroduce old bugs, and repeat avoidable incidents. That is how Zombie Bugs return to production.
Rationale origin
- PR description
- Linked issue
- Inline comments
- External ticket
- Manual team input
5 sources monitored per change
RepoKit cross-checks PRs, issues, comments, tickets, and manual team input to reconstruct rationale with traceability.
Rationale confidence
Found in PR, issue, or ticket
Derived from diff, patterns, and history
Alert for high decision-loss risk
Direct business impact
TheContextLayerThatMakesReviewsTrustworthy
Reviewers need context, not assumptions. RepoKit keeps it live.
When a PR opens, the live base feeds the reviewer's packet with runbooks, architecture, flows, and facts always in sync with code.
Getting Started
Complete local setup with verifiable prerequisites
New developers boot environments without Slack dependency
Runbook
Incident playbooks, rollback, and troubleshooting
Operations respond faster with less improvisation
Inventory
Services, queues, workers, APIs, and real dependencies
Architecture is clear without guesswork
Architecture
Modules, boundaries, and traceable technical decisions
Tech Leads review impact with governance
Flows
Critical business flows and failure points
CTOs see where a bug can hit revenue
Facts
Env vars, ports, versions, and integration contracts
Single source of truth for AI, review, and audit
ThecontextthatmakesyourAIasinformedasyourbestreviewer
Without verifiable context, AI guesses. With RepoKit, it works with facts.
RepoKit delivers the reviewer's context to your AI. Through MCP, Cursor and Claude Code can access risk scores, impact analysis, and change rationale to support review decisions, not just code generation.
Build features with real context
AI uses live base, critical flows, and historical decisions
Investigate bugs with full trail
AI correlates PRs, impact, tests, and likely root cause
Generate fixes with evidence
AI proposes solutions from verifiable context, not guesses
Accelerate technical onboarding
AI answers with repository context without senior dependency
How you use it
Model Context Protocol (MCP)
MCP is the standard for connecting AI to reliable context. RepoKit provides structured, source-traceable context (risk scores, impact, and rationale) to Cursor, Claude Code, Windsurf, ChatGPT, and other AI tools.
Security,governance,andleastprivilege
Built with least privilege, human review, and full traceability
Read-only on code
No write access. You control which repos to connect.
Mandatory human review
No analysis published without team approval.
Traceability per commit/PR
Each snapshot linked to specific commit.
Complete audit
Log of changes, approvals, and access.
Doesn't expose secrets
Sensitive values automatically masked.
Allowlist/Denylist of paths
Fine control over processed files.
Start by validating RepoKit inside your real repository
1 repository, a complete baseline, up to 2 PR analyses, and 7 days to see the product inside a real engineering workflow.
Built to validate value in your own repository. Limited per repository and time-boxed, not a free-forever tier.
Start guided trial1 repository
Complete baseline
Up to 2 PR analyses
7 days
Choose the right plan before your next deploy
Turn every PR into a safer deploy decision with impact analysis, risk scoring, and preserved change rationale.
Guided trial
Prefer to validate value first? Start with 1 repository, a complete baseline, up to 2 PR analyses, and 7 days before moving to a paid plan.
Built to validate value in your own repository. Limited per repository and time-boxed, not a free-forever tier.
For solo repositories that need immediate risk visibility.
- 1 repo
- 12 PRs/month
- 3 credits/month
For active teams reviewing multiple deploy-critical PRs every week.
- 3 repos
- 30 PRs/month
- 8 credits/month
For engineering squads operating shared services and high-volume deploy flows.
- 10 repos
- 120 PRs/month
- 30 credits/month