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The pattern is always the same: an AI agent completes step one, retrieves the wrong document, and every subsequent action is built on a broken foundation. I've watched teams spend months fine tuning prompts and swapping LLMs while the real culprit hides in plain sight. Retrieval is the
AI News
CTOs are racing to accelerate development velocity, and fully autonomous AI code generation is delivering real results. Agents that write entire applications while your team focuses on higher-value work are no longer theoretical. Thoughtworks just ran a rigorous experiment that shows exactly how to make this work, and the lessons
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Engineering teams are drowning in pull requests that look correct but feel off. The code passes tests and follows style guides, yet reviewers sense something's missing. AI-assisted coding has fundamentally changed what's landing in your review queue, but the review process hasn't evolved to