Automated Code Review AI
The Problem
Code reviews create delays. Senior developers spend hours reviewing PRs, often catching the same kinds of issues repeatedly: missing error handling, inconsistent naming, security oversights. PR queues grow, and developers wait for approvals.
How Stoneforge solves it
Automated code review AI from Stoneforge handles the mechanical parts of code review so your senior developers spend less time on routine checks. The Steward agents perform AI code review on every merge request automatically.
Consistent first pass on every PR
Every PR gets reviewed the same way. The automated code review AI checks for style issues, common bugs, security vulnerabilities, and test coverage before a human reviewer opens the PR.
# The Steward agent reviews every merge request automatically.
# No configuration needed — it's built into the orchestration flow.
# Customize review behavior by overriding the steward prompt:
# .stoneforge/prompts/steward-merge.md
# Or create a custom steward with a playbook
# that defines your specific review criteria.
More than linting
Linters catch syntax and formatting issues. Stoneforge’s AI code review reads the full diff and understands the context of a change. It can flag missing error handling, identify potential null pointer issues, and catch cases where a code path lacks test coverage. It won’t catch everything a senior developer would, but it handles a lot of the repetitive checks.
Custom review criteria
Define what matters to your team. Create custom Steward configurations with playbooks that enforce your specific standards, whether that’s API design patterns, error handling requirements, or accessibility compliance.
Specific fix suggestions
AI code review comments include concrete suggestions, not vague observations. Instead of “this could be improved,” the Steward points to a specific line and suggests a fix, like adding a guard clause for an unhandled null case.
Faster review cycles with automated code review AI
With routine issues caught automatically, human reviewers can focus on the parts of review that need human judgment. Combine this with AI test generation to ensure new code ships with proper test coverage.
# Review flow:
# 1. Agent completes task → MR created
# 2. Steward reviews automatically → comments posted
# 3. Agent fixes Steward feedback → MR updated
# 4. Human reviewer sees a cleaner PR → faster approval
# 5. Steward merges → done Related documentation
Frequently asked questions
Does automated code review AI replace human reviewers?
How does AI code review analyze pull requests?
Can I customize what automated code review AI checks for?
How does AI code review integrate with GitHub PRs?
What security checks does automated code review AI perform?
Ready to get started?
Set up Stoneforge in under 30 seconds and start orchestrating AI agents in parallel.