Radically different codebase intelligence

Where AI-generated code meets production-grade quality to review, secure, monitor or metricise every pull request.

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Code + Quality = Codity

What happens between opening a pull request and merging it.

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See it run on your codebase

With AI, code quality has been a headache. With Codity, it’s a head-start.

  • Every pull request is reviewed using complete codebase context, not just the files that changed. Codity understands your repositories, linked tickets, and service dependencies to catch functional issues, prioritize findings, and provide actionable feedback directly on the pull request.

  • Catch security issues before they reach production. Scan every pull request for leaked secrets, vulnerable dependencies, injection risks, and insecure patterns, with findings surfaced directly where developers work.

  • Understand any codebase in seconds. Search across repositories, trace dependencies, follow execution flows, and instantly discover how services, APIs, and components connect.

  • Measure engineering performance with meaningful insights. Track review efficiency, merge velocity, deployment trends, DORA metrics, and identify bottlenecks across your engineering organization.

  • Stay ahead of production issues with continuous repository intelligence. Detect unusual code changes, quality regressions, and engineering trends before they become incidents.

langchain/langchain⌘K
langchain/schema.py
Comment on lines +225 to +226
225+class ValidationError(BaseModel):
226+    error_message: str
codity.aiBot10 hours ago
Functional

ValidationError is defined with field error_message, but every construction site in this PR passes text=..., so any parse failure crashes before fix() can run.

Suggested fix
Prompt for AI assistance
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No more compromising on speed for quality

A unified platform that keeps quality ahead of every commit.

CLI

Run Codity from your terminal. Review pull requests, scan for security issues, search your codebase, and integrate seamlessly into local workflows or CI/CD pipelines.

Memory

Remembers your team's decisions. Tell Codity a finding is intentional, a false positive or an accepted risk, and it remembers that for future reviews in the repository, so the same comment doesn't come back on every pull request.

Custom Rules & Policies

Automate your engineering standards. Define repository or folder-specific rules, enforce coding policies, require tests, validate architectural decisions, and apply custom review workflows across every pull request.

Integrations

Connect with your existing developer stack. Connect GitHub, GitLab (cloud or self-managed), Azure DevOps and Bitbucket, pull requirements from Jira, Linear, ClickUp, Notion and Confluence, and work with Codity from Slack, Claude Code and Cursor.

Security Notifications

Know when a risk appears. Get alerts for leaked secrets, vulnerable dependencies and critical findings in Slack or Discord from scheduled scans of the branches you monitor, alongside the findings on each pull request.

Production Incident Response

Resolve incidents faster with AI-powered root cause analysis. Correlate code changes, deployments, logs, metrics, and traces to identify the root cause, generate detailed RCA reports, recommend fixes, and automatically create remediation pull requests when it's safe.

Security first design built for enterprise

  • SOC 2 Type II
  • VAPT
  • HIPAA
  • GDPR

From teams using Codity

Engineering teams, on camera and in their own words.

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Customer film

Rohit Sharma

Engineering Manager, Amagi

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Customer film

Vijay Venkatesh

VP, Myridius

Film 1 of 2: Rohit Sharma, Amagi

Frequently asked questions