SentinelOps is an AI agent that finds bugs, writes the fix, and opens a pull request — while you sleep.
How it works
Connects to your GitHub repo via webhook or scheduled scan. Runs on every push, or on a cron. Never misses a change.
Runs static analysis, security scans, and custom lint rules. Categorizes severity: critical, high, medium.
Writes a precise patch for each issue. Never guesses — applies targeted, minimal changes that pass your test suite.
Opens a pull request with a plain-English explanation, test plan, and a diff you can review in 30 seconds.
Capabilities
SQL injection, XSS, SSRF, insecure deserialization, hardcoded secrets. Every issue gets a patch, not a warning.
Promise rejections, uncaught exceptions, missing error boundaries. SentinelOps rewrites the code to handle the edge cases.
N+1 queries, missing indexes, expensive loop operations. Spots the patterns before they hit production.
Flagged TODO comments, deprecated API usage, long functions. Tracks your technical debt so you can prioritize refactors.
Define your own patterns in plain YAML. Team-specific lint rules, architectural constraints, naming conventions — automated.
Monitor your entire org. Dashboard shows all repos, aggregate issue counts, and PR status across every codebase you own.
Setup
Connect SentinelOps to your GitHub org. Set it up once. It runs silently in the background — opening PRs only when it finds something worth fixing.
No configuration files. No rules to write. It starts finding issues immediately.
What changed: Parameterized the SQL query in getUserById(). Previously used string interpolation, allowing injection via /api/users/1' OR 1=1 --.
Test plan: Added unit test covering the injection payload. All 847 existing tests pass.
Severity: Critical — unauthenticated, remote code execution possible.
Why SentinelOps
SentinelOps handles code quality. Your team handles the product.