Syntax - Tasty Web Development Treats 980: AI Coding Explained
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Feb 18, 2026 A practical tour of AI coding tools, from editors and GUIs to terminals and cloud agents. They break down agents, subagents, skills, and MCPs and explain how those pieces fit together. Slash commands, hooks, and plugins for reproducible workflows get attention. The hosts stress picking the right model and keeping setups simple while experimenting.
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Prefer Model-Agnostic Tools
- Keep your AI tools model-agnostic so you can switch models as capabilities change.
- Prefer editors that let you choose models rather than locking you into a single provider.
Match Model To Task
- Different models have distinct strengths: use precise models for detailed code and exploratory models for brainstorming.
- Expect to mix models (e.g., Codex for accuracy, Opus for creativity) based on task.
Keep Agents.md Minimal And Focused
- Put persistent, essential repo context in agents.md but avoid dumping the entire codebase there.
- Limit agents.md to concise facts (stack, frameworks, conventions) to prevent context bloat and slow chats.