Agents & automation
Agents are LLM features with hands. These posts cover giving a model tools it can use safely, running several coding agents in parallel, and automations like WhatsApp bots that small businesses actually ask for.
WhatsApp chatbots, part 1: the setup nobody documents well
Start of a hands-on series on building a WhatsApp chatbot with Meta's Cloud API. Part 1: the account model, creating the app, the test number, your first message from the terminal, and the webhook that receives replies.
A dev team of agents, each in its own git worktree
How I turned Claude Code into a small team: a project manager, backend, frontend, database and QA agents working in parallel without stepping on each other.
Designing an MCP server an LLM can use safely
Lessons from exposing market data, account data and a trade journal to Claude through MCP: grouping tools, failing clearly, and never letting the model place an order.
Other topics
- AI in production9LLM features that survive real users: contracts, evals, cost.
- Agents & automation3Agents, MCP servers and bots that do real work.
- Architecture6Frontend and backend structure that scales with the team.
- Backend, security & infra3Auth, data pipelines and the infrastructure under it all.
- Leadership & delivery2Leading small teams and shipping under constraints.