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Developers using AI coding agents report 55% faster completion and 40% fewer bugs in review (GitHub 2024 survey). AI handles boilerplate, review, and documentation so developers focus on architecture and problem-solving.
Lose an hour to a gnarly stack trace, skip writing tests to save time, and leave docs stale because there's never a free moment.
Ship features faster with AI-generated tests and docs, catch issues in AI code review before merging, and spend more time on architecture.
The same automations, installed by us in the accounts you already pay for. A kit from $49 if you want to import it yourself, an install from $249, the full package at $490. Three questions tell you which.
60 seconds
No tools to learn and nothing to install. Copy this prompt, paste it into ChatGPT, and see what AI can do for developers today.
Act as a senior code reviewer. Here's a function or diff: [paste code]. Point out bugs, edge cases, and security issues, suggest a cleaner version, and add unit tests for the tricky paths. Explain each change briefly.
How AI agents help
Turn a Linear ticket or design spec into a working implementation with tests, ready for human review.
Catch common bugs, security issues, and style violations in first-pass review so humans focus on architecture.
Generate unit tests for new code and update existing tests when behavior changes.
Analyze stack traces, search the codebase for root causes, and propose fixes with a full explanation.
Generate API docs, code comments, and README updates automatically from the source.
Deeper guides: AI Coding Agent · AI Support Agent · AI Marketing Agent
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FAQ
It depends on the tool. Some process locally or offer air-gapped options. Check each vendor's privacy and data handling policy, especially for sensitive codebases.
It augments it. AI catches common issues (style, bugs, patterns) in first-pass review. Human reviewers focus on architecture, security, and domain logic.