Guides to AI-assisted software delivery
Practical guides to evaluating coding tools, testing generated changes, carrying context across sessions, and connecting engineering requirements to evidence.
Vibe coding uses prompts to produce software with little manual review. Learn where it helps, where risk grows, and how to add checks that match the work.
What it covers
A practical workflow for AI-assisted software projects: break down work, keep requirements durable, test behavior, review changes, and hand off context clearly.
Compare AI coding tools with representative tasks, reviewable patches, behavior tests, context controls, and clear security and operating requirements.
A passing review and test suite do not always show that a change matches its original requirement. Learn how to connect intent, code, and evidence.
Use test-driven development to give AI coding tasks explicit expected behavior, while keeping test evidence within its real limits.
Help coding agents work from the right project context: provide the task, constraints, relevant code, expected checks, and a durable handoff.
Connect approved work, code changes, and check results so delivery teams can see what is confirmed and route missing evidence for review.
Learn how claimed, observed, and verified evidence differ, what each level establishes, and why an evidence label must reflect its source.
Try the workflow
The first workspace with one active user is free. Create an issue, connect a supported tool, and review its evidence requirements.