AI Code Review

IntentGuard

Open-source PR alignment reviewer that checks whether every GitHub PR matches the linked Linear issue and sprint intent before merge.

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IntentGuard

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What is IntentGuard?

IntentGuard is an open-source, self-hosted GitHub Action that automatically reviews pull requests against linked Linear issues and sprint context. It uses AI to classify PRs as ALIGNED, MISALIGNED, or UNCLEAR, helping AI-native engineering teams ensure code changes stay on track with project intent.

IntentGuard vs Similar AI Tools

Pricing ModelFreeFreeFreeFree
Free Credits
Key Features
  • Reviews PRs against linked Linear issues and sprint context
  • Classifies PRs as ALIGNED, MISALIGNED, or UNCLEAR with reasoning
  • Self-hosted via GitHub Actions, no data sent externally except to LLM provider
  • Specification Wizard with brainstorming and file tagging
  • Kanban board with drag-and-drop task management
  • Agent loop with three build modes (Pause for Review, Auto-Pilot, Continuous)
  • Two-agent adversarial code review (work agent and review agent)
  • Reconciliation loop until all findings are resolved or escalated to human
  • Supports multiple CLI hosts: Claude Code, Codex, GitHub Copilot CLI, OpenClaw, skills.sh
  • Code review agent that analyzes git diffs and posts findings (read-only)
  • Documentation sync agent that updates Markdown docs to match code via PRs (docs-only, never auto-merges)
  • Autonomous QA testing agent that understands product from code and executes end-to-end flows with backend assertions
Pros
  • Open-source and self-hosted, full data control
  • Direct integration with GitHub and Linear
  • Combines planning, development, and review in one interface
  • Supports multiple AI engines (Claude Code, OpenAI Codex, Anthropic API)
  • Reduces code review blind spots through adversarial process
  • Explicit invocation keeps normal workflow unaffected
  • Requires no manual test writing — QA agent derives flows from code
  • Deep autonomous testing with frontend and backend assertions
Cons
  • Requires LLM API key (Anthropic) for live use
  • Only supports Linear issue tracking (no Jira, Notion, etc.)
  • Requires separate API keys and incurs API usage costs
  • Only supports Claude Code, OpenAI Codex, and direct Anthropic API (not all models)
  • Requires setup and installation per CLI environment
  • Two-agent loop may increase response time for complex tasks
  • Requires setup of multiple dependencies (Node.js, Playwright, CLI tools)
  • Agent-based testing can be non-deterministic and slower than scripted tests
Best For
  • Engineering teams using Linear and GitHub
  • Teams using AI coding agents like Copilot or Cursor
  • Developers who want to automate coding with AI while maintaining human review
  • Teams integrating AI code generation into a structured workflow
  • Developers using AI coding assistants
  • Teams wanting automated thorough code review
  • Developers and teams wanting automated, continuous code review and testing
  • QA engineers looking to reduce manual test script maintenance

How to use IntentGuard?

  1. 1Install the GitHub Action by adding the workflow file to your repository.
  2. 2Configure the action with your GitHub token, Linear API key, and Anthropic API key.
  3. 3Open a pull request.
  4. 4IntentGuard will automatically post a comment with its alignment verdict.
  5. 5Optionally, set alignment.failCheckOnMisaligned to true to block misaligned PRs.

IntentGuard Key Features

  • Reviews PRs against linked Linear issues and sprint context
  • Classifies PRs as ALIGNED, MISALIGNED, or UNCLEAR with reasoning
  • Self-hosted via GitHub Actions, no data sent externally except to LLM provider
  • Single-comment update per PR (no spam)
  • Configurable strictness, ignored paths, and merge-blocking
  • Mock mode for offline testing without API keys

IntentGuard Use Cases

  • Ensuring AI-generated code aligns with sprint goals before merge
  • Preventing scope creep by detecting PRs that deviate from linked tickets
  • Automating alignment checks for teams using Linear and GitHub
  • Maintaining project focus in fast-paced AI-native engineering teams

IntentGuard Pricing & Free Credits

IntentGuard currently operates on a Free model.

This tool is completely free to use

Open Source

Free

Self-hosted open-source tool. No usage limits. You pay only for your LLM provider (Anthropic API costs).

IntentGuard Pros & Cons

Pros

  • Open-source and self-hosted, full data control
  • Direct integration with GitHub and Linear
  • Security-focused: never executes PR code or uses pull_request_target
  • Provides actionable alignment verdicts with reasoning and sources
  • Configurable to block misaligned PRs if needed

Cons

  • Requires LLM API key (Anthropic) for live use
  • Only supports Linear issue tracking (no Jira, Notion, etc.)
  • Currently no GitHub App install flow (must be set up as GitHub Action)
  • LLM costs can accumulate for high PR volume

What is IntentGuard best for?

  • Engineering teams using Linear and GitHub
  • Teams using AI coding agents like Copilot or Cursor
  • Tech leads wanting to ensure PRs align with sprint goals
  • Open-source projects seeking to automate alignment checks

IntentGuard FAQ

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