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Jeffrey Sherman discusses using AI to complete a decade-long API rewrite, focusing on strategies for parity, documentation, testing, and migration. This episode offers insights into managing legacy systems and leveraging AI for efficient software development.
This episode explores the evolving practices of code review in the age of AI, focusing on the size of pull requests, the role of human oversight, and how AI tools like Claude are transforming development workflows. Features Jeffrey Sherman, Isaac Askew, and Dustin Rea.
In this episode, Jeffrey Sherman shares insights on how AI can optimize legacy code testing, improve build times, and address the challenges of organic codebases. Discover practical strategies and the importance of conventions in maintaining reliable tests.
Isaac & Jeffrey discuss how delivering incredibly literal acceptance criteria ('solutioning') changes when the engineering work pivots to the AI agent rather than a human engineer.
Isaac and Jeffrey explore the concept of transient software, sharing insights on building personalized tools with AI, cost-effective infrastructure, and the future of software development. They discuss real-world examples, including a band management app, and the implications of AI-driven, ephemera…
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