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Alberto García
Alberto García

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AI Code Review: Making sure your code matches product requirements

If you’ve ever merged code that looked fine in review but later caused bugs, security issues, or didn’t even match the product requirements… you’re not alone.

Traditional reviews focus on code quality. But shipping reliable software requires more: catching bugs, checking security, ensuring conventions, and verifying that what’s coded actually matches the product ticket.

That’s why I built Sopa.

What Sopa does

  • Detects bugs & edge cases before they hit production
  • Flags security vulnerabilities early
  • Enforces style & conventions automatically
  • Connects to Jira, Linear, ClickUp, Asana… to validate code against product requirements
  • Provides suggestions & advice to fix issues fast

Sopa works with GitHub, GitLab and Bitbucket, reviewing pull requests or merge requests and leaving comments just like another reviewer on your team — but available 24/7.

Why it matters

  • Prevent bugs before they reach QA or users
  • Reduce the risk of security breaches
  • Save developers hours of manual reviews and rework
  • Align product and engineering seamlessly
  • Ship faster with more confidence

Example

Imagine a ticket says:
“Add a search bar with autocomplete and log user queries for analytics.”

A developer builds the search bar, but:

  • No autocomplete
  • Analytics logging is missing
  • And a small SQL injection risk is introduced in the query

Sopa would:
✅ Flag the missing autocomplete
✅ Highlight the missing analytics logging (requirement not met)
✅ Detect the potential SQL injection (security issue)
✅ Suggest fixes to align with best practices

All directly in the PR/MR comments.

What’s next

We just launched Sopa 🚀.
I’d love to hear your feedback, ideas, or even your toughest “what if” scenarios.

👉 Try it at heysopa.com and let me know what you think.
I’m building this with the community.

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