a minimal local agent loop with:
- workspace snapshot collection
- stable prompt plus turn state
- structured tools
- approval handling for risky tools
- transcript and memory persistence
- bounded delegation
How coding agents use tools, memory, and repo context to make LLMs work better in practice
design of coding agents and agent harnesses: what they are, how they work, and how the different pieces fit together in practice. Readers of my Build a Large Language Model (From Scratch) and Build a Large Reasoning Model (From Scratch) books often ask about agents,
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