Code Generation is About Control, Not Prompts
The best way to get reliable code from an LLM is better control and enforcement through predefined workflows, validation, and test-driven development.
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Insights on structured AI development, avoiding LLM-generated technical debt, and building production-ready Phoenix applications.
Design-Driven Code Generation, The Missing Layer Between Specs and Code
Design-driven development adds explicit, reviewable designs that define component architecture before implementation begins.
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My first serious coding workflow with AI
Learn the architecture, planning, and process iteration that keeps LLMs on track.
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Why Phoenix Contexts Are Perfect for LLM-Based Code Generation
Phoenix contexts provide self-contained modules, consistent patterns, and built-in testability that make them ideal for AI-assisted development.
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