Caterpillar Context Control - AI Workflow
Stop “vibe coding.” Start building AI systems that actually ship.
In this Buffalo Code and Coffee talk, Noah Harris shares a practical mental model for using AI to write high-quality, production-ready software - without sacrificing control, structure, or reliability.
🎤 Speaker: Noah Harris (Managing Director, Radial Agency)
📍 Event: Buffalo Code and Coffee
👥 For: Developers, engineers, and tech professionals in Western New York
AI can generate code - but can it generate good code?
In this session, Noah breaks down how to move beyond random prompting and into structured, repeatable workflows that produce real-world results. From planning and test-driven development to multi-agent systems and context management, this talk is a deep dive into what it actually takes to build with AI at a professional level.
💡 Key Takeaways:
Why “context is king” when working with AI coding tools
How to structure software projects with requirements → epics → features → tasks
Using test-driven development (TDD) and behavioral testing with AI
The research → structure → plan → implement → refine workflow
How to scale with multi-agent systems and avoid context overload
The “caterpillar pattern” for long-running AI workflows
Why planning, iteration, and verification are critical for quality code
🧠 Topics Covered:
AI Coding • Developer Workflows • Test-Driven Development • Context Management • Multi-Agent Systems • Software Architecture • Agile Development • Claude • Prompt Engineering
If you're a developer in WNY looking to level up your workflow and build smarter with AI, this is exactly the kind of conversation happening at Buffalo Code and Coffee.
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