Give Your Coding Agents a Memory You Own

Components of A Coding Agent

How coding agents use tools, memory, and repo context to make LLMs work better in practice

How Much Memory Does Your Agent Actually Need?

Tiny Agents: an MCP-powered agent in 50 lines of code

Upgrading agentic coding capabilities with the new Devstral models

Note on 24th September 2026

Simon Willison reflects on his experience with coding agents, noting that while they enable impressive feats, they also complicate software engineering. He emphasizes that fully harnessing their capabilities demands exceptional discipline and deep knowledge. The article highlights the dual nature of coding agents as both powerful tools and challenging additions to development workflows.

Make Memory work for you.