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Skeptical Engineer Tries AI Coding Agent, Walks Away a Believer
- The pace of programming is swiftly evolving, especially with advanced AI tools like LLMs and agents becoming more prevalent.
- Initially skeptical of agent engineering, the author's perspective shifted after trying the stdlib approach which significantly improved results.
- The stdlib approach involves providing detailed rules, specifications, and tasks to a synthetic assistant for execution and iterative refinement.
- The author tested this approach in implementing a circuit-breaking library called brama, achieving success with the agent delivering a fully functional library.
- Learnings from the experiment included the importance of specifying rules clearly to avoid issues like skipped tests and broken implementations.
- Future plans involve refining the agent-assisted development framework, automating execution, and integrating with systems like GitHub for task management.
- The author believes that agent-augmented development will drive significant changes in the programming industry, emphasizing the need for adapting existing processes and skills.
- Embracing this shift is seen as a renaissance in software engineering, where mastering specification articulation and task decomposition will be crucial for engineers.
- The rapid evolution of the programming landscape suggests that businesses and professionals must be prepared to adapt and leverage new methodologies for success.
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