[ Anthropic · Claude Developer Roadmap ]
A 15-part sequential masterclass from a Principal DevRel lens — from context-window physics, XML structural prompting, and type-safe tool use to MCP aggregation, durable agent runtimes, eval-driven engineering, and autonomous cron routines.
The model is a fixed-size attention budget. Understand context windows, output caps, and token physics before you write a single prompt.
Read lesson →Free-text prompts are non-deterministic. Wrap inputs in XML tags to give Claude a parseable shell and pin its attention where you want it.
Read lesson →An LLM that returns prose can't drive a system. Force type-safe JSON and validate it at the boundary with Zod before it touches your code.
Read lesson →Tool use is the model asking your runtime to act. Master the request/result loop, schema design, and parallel tool calls.
Read lesson →Stop hard-wiring integrations into prompts. Build an MCP server that exposes tools and resources Claude can discover and call.
Read lesson →Reasoning isn't free. Tune adaptive extended thinking budgets to trade latency for accuracy on the problems that actually need it.
Read lesson →Your CLAUDE.md is the agent's standing system prompt. Engineer it — plus secure CLI boundaries — for a deterministic local workspace.
Read lesson →Turn a repeated workflow into a first-class Skill — a discoverable, versioned task script the agent invokes on demand.
Read lesson →Structure the static prefix so it caches, and take roughly 90% off those tokens plus a latency win on every reuse.
Read lesson →Safety is an architecture, not an afterthought. Layer constitutional principles, system prompts, and runtime guardrails.
Read lesson →One context can't hold a migration. Fan work out to isolated git worktrees and route parallel subagents that don't collide.
Read lesson →Agents crash, sessions resume. Checkpoint handoffs to Durable Objects and Redis so a long-running agent survives restarts.
Read lesson →Production agents need many tools at once. Aggregate Postgres, Figma, and Playwright MCP servers behind one governed surface.
Read lesson →If you can't measure a prompt, you can't ship it. Build golden datasets and an eval harness that gates every prompt change.
Read lesson →The endgame is an agent that runs without you. Schedule cron-style autonomous routines with checkpoints, budgets, and kill-switches.
Read lesson →This is the roadmap I build agents by — from token physics to autonomous routines. Let's architect yours.
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