Agents that run while I sleep
Engineers merge 5x more PRs with AI but struggle to verify correctness without manual review.
The rapid adoption of AI coding agents like Claude Code has created a trust crisis in software development. Teams are now merging 40-50 PRs weekly instead of the traditional 10, but face an impossible review burden. The core problem: when the same AI writes code and tests, it creates a "self-congratulation machine" that validates its own misunderstandings rather than true correctness. Traditional solutions like hiring more reviewers or using AI for both writing and checking fail because they don't provide the fresh perspective that human code review was designed to deliver.
Opslane's Verify tool implements a TDD-inspired solution that works at AI scale. Developers first write plain English acceptance criteria specifying observable behaviors (like "User sees exactly 'Invalid email or password'"). AI agents build against these specs, then separate verification agents run Playwright browser tests or API checks against each criterion. The workflow shifts engineers from reviewing thousands of lines of AI-generated code to examining only the failures, with detailed reports showing exactly which criteria failed and what the system actually did. While this doesn't catch spec misunderstandings, it reliably catches integration failures, rendering bugs, and behaviors that work in theory but break in practice—addressing the most critical gaps in AI-assisted development.
- Teams using Claude Code merge 40-50 PRs weekly instead of 10, overwhelming traditional review processes
- AI self-checking creates a "self-congratulation machine" that validates its own misunderstandings rather than true correctness
- Verify tool uses acceptance criteria testing to shift review from reading diffs to examining only failures with detailed reports
Why It Matters
Enables safe scaling of AI coding by providing verifiable correctness when human review becomes impossible at volume.