Feature Suite

Everything you need
to review code at scale

Deep-tech infrastructure that makes PRInspector the intelligent choice for modern software engineering teams.

Before Diffnix vs After Diffnix

Real impact from real engineering teams.

PR Review Time
45 min< ~5 sec
Bugs Caught
~60%97%
Code Quality Score
62/10091/100
Developer Velocity
Baseline+40%
AI Engine

Deep Semantic Analysis

PRInspector understands your code, not just syntax.

Go beyond surface-level linting. PRInspector uses advanced language models to understand architectural patterns, detect security vulnerabilities, and suggest meaningful improvements that static analysis tools miss.

  • Catches SQL injection, XSS, and auth bypass vulnerabilities
  • Understands cross-file dependencies and impact
  • Context-aware suggestions with explainable reasoning
  • Learns from your codebase patterns over time
PRInspector — Live Demo
$ git push origin feature/auth-middleware
→ PRInspector triggered on PR #312
✓ Scanning 6 files... 234 lines changed
● CRITICAL: Hardcoded JWT secret in auth.ts:45
▲ WARNING: Missing rate limiting on /api/login
✓ Auto-fix suggested for 2 issues
✓ Review posted in 4.7s
Rules Engine

Custom Rule Engine

Your standards. Your rules. Enforced automatically.

Describe a rule in plain English and PRInspector enforces it on every pull request. No config files, no syntax to learn — pick a severity, choose the repositories, done.

  • Write rules in plain English, no YAML or config files
  • Built-in rule library with one-click bundles like Security First
  • Rule suggestions based on your repo's languages and frameworks
  • Turn rules on or off per repository
New Review Rule
RuleNo console logs in productionSeverity⚡ MediumInstruction“Flag console.log or console.debug calls, except in test files.”
✓ Rule active• Applied to 3 repos
Security

Secret Detection & Prevention

Catch leaked credentials before they merge.

PRInspector checks every diff for hardcoded API keys, tokens, and passwords — and understands context, so reading from process.env or an .env.example file isn't flagged. A detected secret is marked Critical and fails the review.

  • Context-aware detection of hardcoded keys, tokens, and passwords
  • Ignores environment variable names, config schemas, and example files
  • Critical findings request changes and fail the PR status check
  • Works with GitHub branch protection to block the merge
SECRET DETECTED
config/env.ts:14
const API_KEY = "sk-proj-a8f2...x9k1"
CHANGES REQUESTEDCHECK FAILED
Analytics

Review Intelligence Dashboard

Measure what matters. Improve continuously.

Track your team's code quality trajectory with rich analytics. Identify hotspots, monitor review velocity, and measure the impact of your engineering standards.

  • Quality score trending and team leaderboards
  • Violation heatmaps by file and author
  • Review velocity and bottleneck identification
  • Exportable reports for engineering leadership
1.8s
Avg Review
91/100
Score
2.1
Issues/PR
94%
Fix Rate

And so much more.

Every feature designed for engineering excellence.

Real-time Webhooks

Instant feedback on every PR event. Reviews complete in under 5 seconds.

Branch Policies

Different rulesets per branch. Strict on main, relaxed on feature branches.

AI Auto-Fix

One-click apply for AI-suggested fixes directly on your pull request.

Multi-Repo

Manage unlimited repositories and organizations from a single dashboard.

Local LLM

Run AI models on your infrastructure. Your code never leaves your network.

Pattern Analysis

Detect anti-patterns and architectural violations with AI semantic analysis.

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