GateTest uses AI to automatically find bugs, security issues, and CI rot, then creates a tested pull request with the fix.
GateTest
GateTest uses AI to automatically find bugs, security issues, and CI rot, then creates a tested pull request with the fix.
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What it does
GateTest is an AI-powered dev tool that scans your entire codebase using 110 modules to detect bugs, security vulnerabilities, and performance issues. It goes beyond just identifying problems by automatically generating, testing, and even pair-reviewing fixes with a second AI, then opening a pull request. This allows teams to resolve critical CI failures and code issues quickly, often while they sleep, ensuring a smoother deployment pipeline.
Who it helps
Developers, engineering teams, and companies utilizing CI/CD pipelines who want to automate code quality, security, and bug fixing processes.
Why it's interesting
GateTest stands out by not only identifying issues but also providing auto-generated, tested, and AI-reviewed fixes as pull requests, significantly reducing developer effort and downtime. Its pay-per-scan model offers flexibility, and the specific choice of Claude Sonnet 4 for its bug-fixing capabilities suggests a highly focused and effective solution for a critical developer pain point.
Card stats
AI-assisted scores estimated from public website information only.
FounderDeck estimate
Medium confidenceGateTest earns an optimistic FounderDeck estimate of $750,000 due to its highly polished product, clear painkiller use case for developers, and innovative AI-driven auto-fix capability. The explicit 'pay per scan' pricing, detailed workflow, and 'Launching today · v1.46' status indicate a functional and well-defined solution. While still in beta, the strong product clarity, significant market potential in dev tools, and robust monetization path position it as a valuable early-stage venture, though explicit public traction or user numbers would be needed for a higher multi-million dollar estimate.
Valuation date: 2026-06-05. Estimate generated from public signals.
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