AI Automation

Code reviews are a bottleneck — and junior devs ship vulnerabilities that senior engineers miss

An AI code review bot reviews every pull request for security vulnerabilities, logic errors, and code quality issues before any human touches it — making your reviews faster and safer.

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The challenges you're facing

Senior engineers spending 2–4 hours/day on code reviews instead of building new features

Security vulnerabilities shipped to production because reviewers focus on logic, not security patterns

Inconsistent review quality depending on who reviews — no standards enforced automatically

Every PR Gets a Senior Security-Aware Engineer Review Before Humans See It

We deploy AI code review automation that triggers on every pull request, analysing the diff for OWASP vulnerabilities, logic errors, performance anti-patterns, missing tests, and code style violations. The bot posts detailed, actionable comments directly on the PR. Junior developers learn from the feedback. Senior engineers spend their review time on architecture and business logic, not syntax and security basics.

What you get

1

Codebase & Risk Assessment

Review your tech stack, common vulnerability patterns, and existing review process to configure the bot correctly.

2

Bot Configuration & Rules

Configure security rules (OWASP Top 10, language-specific CVEs), style guides, and PR comment format.

3

GitHub/GitLab Integration

Deploy the bot as a GitHub Action or GitLab CI job that triggers on every PR with branch protection rules.

4

Feedback Loop & Tuning

Review bot comment quality weekly and tune false positive rate based on team feedback.

Technologies & tools

GitHub ActionsGitLab CIOpenAI GPT-4oClaudeCodeRabbitSemgrepSonarQubePython

Case study — anonymised

Fintech Startup — 25 engineers

Before

Senior engineers reviewing 40+ PRs/week, spending 3 hours/day on review. Security review was ad-hoc — no consistent process. 2 critical OWASP vulnerabilities shipped to production in 6 months.

After

AI bot reviews all PRs first. Humans review bot comments and focus remaining time on architecture decisions. Security patterns enforced automatically.

Engineer review time cut by 55%, zero security vulnerabilities in production in 8 months, PR cycle time reduced from 2.1 days to 0.7 days

Frequently Asked Questions

Common questions from enterprise and mid-market teams across India and internationally.

Which programming languages does the AI code review bot support?
We configure bots for Python, JavaScript/TypeScript, Go, Java, C#, PHP, Ruby, Rust, and most other mainstream languages. Security rule sets are language-specific — a Python SQL injection check differs from a Java one.
Will it slow down our PR process?
No. Bot reviews typically complete within 60–120 seconds for most PRs. They run in parallel with human reviews, not sequentially. Developers often get bot feedback before they've even pinged a reviewer.
Can we customise which rules it enforces?
Yes. We configure the rule set based on your stack, regulatory requirements, and team preferences. You can suppress rules that don't apply, add custom rules for your specific architecture, and tune the severity levels.
What if the bot raises a false positive?
Developers can respond to bot comments with a justification and mark them as acknowledged. We track false positive rates and tune rules accordingly. Common false positives are typically resolved in the first two weeks of operation.

Ready to get started?

Tell us about your situation and we'll respond with a tailored assessment within one business day.

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