prelint

It’s a non-negotiable that shipped code matches product specs, not just that it passes code review. When AI agents move autonomously and fast, code drifts from specs, business rules, and compliance expectations. That drift shows up as rework, missed deadlines, and features that technically work, but break how the product should behave. prelint reduces that drift. It synthesises your specs, tickets, emails, call transcripts, and meeting notes into a product knowledge graph and checks every pull request against those decisions before it merges, so you see which changes quietly contradict the spec while there is still time to adjust. You spend less time re‑opening tickets, fixing last minute issues, or rolling back work that should never have shipped. Not another tool in your tech stack: your team keeps its current GitHub‑based workflow and documents the expected behaviour where it already exists. prelint turns those decisions into checks that run with your existing pipeline and review flow. Leaders keep control over what is allowed to ship without adding more meetings. Developers and agents keep moving at the speed the business expects, inside clear boundaries that protect the product and your compliance workflows.

Prelint helps teams manage and review decisions made during code changes. By recording every decision, it ensures that all product decisions are traceable and contextually available for future tasks. This tool effectively minimizes the chances of miscommunication and error in the development process, saving both time and money. Users integrate Prelint with their GitHub repositories, allowing it to review pull requests automatically. Each decision gets recorded alongside who made it, when, and its context, creating a decision ledger. Developers can access this ledger to find out the rationale behind previous decisions, thus preventing redundant work and aligning coding tasks with business needs. Prelint is designed for engineering teams, product owners, and CTOs looking to improve code quality and decision-making in software development. It particularly benefits teams that produce frequent pull requests, as it automates reviews and provides clear audit trails without requiring extensive documentation.