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Code quality

Making Codebases Agent Ready – Eno Reyes, Factory AI

Making Codebases Agent Ready – Eno Reyes, Factory AI

The effectiveness of AI coding agents is not limited by model quality, but by "Agent Readiness"—the state of your development environment. This talk explains why agents fail on codebases with flaky tests, low validation, and tribal knowledge. It introduces a framework for improving your environment's readiness through rigorous verification, automated validation, and a shift to specification-driven development, arguing this is the key to unlocking 5-7x productivity gains and enabling true software engineering autonomy.

Reading Code Effectively: An Overlooked Developer Skill • Marit van Dijk & Hannes Lowette

Reading Code Effectively: An Overlooked Developer Skill • Marit van Dijk & Hannes Lowette

Marit van Dijk and Hannes Lowette discuss why reading code is a critical, yet underdeveloped, skill for software developers. They explore research-backed strategies like structured code reading clubs, leveraging modern IDEs and AI assistants to comprehend complex codebases, and the importance of empathy in code reviews. The conversation emphasizes using tests as documentation and writing clear commit messages to improve collaboration and long-term maintainability.

Beyond the Prototype: Using AI to Write High-Quality Code - Josh Albrecht, Imbue

Beyond the Prototype: Using AI to Write High-Quality Code - Josh Albrecht, Imbue

Josh Albrecht, CTO of Imbue, discusses the engineering challenges in building reliable AI coding agents. He introduces Sculptor, an experimental environment designed to build trust in AI-generated code by focusing on preventing and detecting problems through structured workflows, automated testing, and AI-driven analysis, moving beyond simple code generation to create maintainable software.

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