AI All the Things?
Summary
Traditional sprint ceremonies start getting in the way when AI-assisted development outpaces the cadence they were built for. Carl and Brandon unpack why that happens and what to do about it — starting with the basics. Brandon defines context windows, distinguishes original vibe coding from the sloppy way the term is used today, and walks through the software factory model where requirements, source code, and tests live in separate repos. Carl shares how he continuously refines his Copilot instructions file, instructs the agent to detect and document recurring patterns, and leans on intent-based prompting over tactical step-by-step descriptions — a three-sentence prompt describing preset themes and macOS Focus Mode integration wrote his Swift UI code nearly flawlessly. Both hosts dig into context management: plan mode to review before implementing, the “Ralph Wiggum” pattern of starting fresh sessions with just the plan, and Architectural Decision Records that give future sessions a trail to follow. Different models suit different jobs — Claude for architecture, Codex for implementation — and MCP servers let those models reach Git and GitHub without a copy-paste workflow.
Brandon argues AI is a tool like the Internet — some roles will shift, but learning and adapting has always been the core tech-industry skill. Carl backs that up with a study showing senior engineers only see productivity gains when they change their process, not when they bolt AI onto the old one. On the junior side, Carl mentors a developer to focus on data structures and algorithms — not for the implementation details, but for knowing when to apply them. An MIT study pegs realistic job displacement at around 11.7 percent, and cases like Box’s layoffs look more like post-COVID overcorrection than proof that AI is replacing everyone.
Links
AI-Assisted Development
- GitHub Copilot
- Anthropic Claude
- OpenAI Codex
- Model Context Protocol (MCP)
- T3 Chat — Compare LLM Outputs
Development Concepts
- Strangler Fig Pattern (Martin Fowler)
- Test-Driven Development (TDD)
- Behavior-Driven Development (BDD)