AI tool comparison
Stage vs Oxlint
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Stage
Puts humans back in control of agent-generated code review
75%
Panel ship
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Community
Free
Entry
Stage is a code review tool built around a simple thesis: AI agents are writing more code than humans can meaningfully review, and the existing review UX (giant diffs, stale PR comments) was designed for human-paced development. Stage reimagines the review interface for the agentic era, surfacing risk signals, grouping semantically related changes, and inserting human checkpoints at high-stakes decision points rather than asking engineers to rubber-stamp thousands of AI-generated lines. The tool integrates with GitHub and works as a layer on top of existing CI/CD pipelines. It uses LLMs to classify code changes by risk level — security-sensitive, performance-critical, API contracts, etc. — and routes those changes to human reviewers while automatically approving lower-risk patches. The goal is to shrink the "important stuff humans should actually review" surface area to something manageable. Stage appeared on Hacker News Show HN with 114 points, suggesting strong resonance with engineers who are feeling the quality-control squeeze from AI coding tools. As Claude Code, Cursor, and similar tools push toward fully autonomous commits, Stage represents the counter-pressure: human oversight tooling that scales to agent-speed development.
Developer Tools
Oxlint
Blazing fast JavaScript linter
100%
Panel ship
—
Community
Free
Entry
Oxlint is a JavaScript/TypeScript linter written in Rust that's 50-100x faster than ESLint. Part of the OXC (Oxidation Compiler) project.
Reviewer scorecard
“This is exactly the tooling the industry needs right now. My team is merging 10x more code per week thanks to agents, and our review process hasn't scaled. Risk-based routing that puts humans where they matter — security, API contracts — is the right mental model. Shipping this to our stack next week.”
“50x faster than ESLint with zero config. Catches the most impactful lint rules without the plugin complexity.”
“The LLM classifying code risk is itself an LLM, which means you're trusting an AI to tell you which AI-written code needs human review. That's a recursion problem. What's the false-negative rate on security-critical code getting auto-approved? I'd want hard numbers before trusting this in prod.”
“The speed makes linting instantaneous in editors and CI. The focused rule set means less noise than full ESLint.”
“Human-in-the-loop tooling for agentic systems is a category that barely existed 18 months ago and is now a genuine industry need. Stage is early infrastructure for sustainable AI-accelerated development. The alternative — blind trust in agent output — leads to a slow-motion quality crisis.”
“Rust-based linting joins SWC, Rspack, and Biome in the JavaScript Rust toolchain revolution.”
“The UX problem Stage is solving — reviewing massive agent-generated diffs — is real even for frontend and design-system work. Risk-based grouping of changes would make my life much easier when Claude rewrites half a component library overnight.”
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