Martin Fowler shares notes from a Thoughtworks retreat on AI harness engineering and self-hosted models.
Deep dive into designing custom AI agent harnesses, covering architecture layers like loops, tools, context, and control for production systems.
Advanced tips for using Claude Code effectively, covering context management, caching, modes, and subagents.
An overview of coding agent components, including tools, memory, and repo context, and how they enhance LLM performance in practice.
An overview of coding agent components, including tools, memory, and repo context, to enhance LLM performance in software development.
Proposes using external documents to preserve AI coding assistant context, preventing decision loss and improving long-term collaboration.
Argues for using general SOTA AI models over custom, specialized ones, predicting cheaper, open-source general models will dominate.
A comprehensive guide to managing context for OpenAI Codex across browser, CLI, and app interfaces for effective software development.
A guide to using Claude Desktop's advanced context management features: MCP servers, Computer Use, and local file access for technical workflows.
A guide to managing context and instructions for using Claude CoWork, an autonomous AI agent for knowledge workers handling files and tasks.
A comprehensive guide to context management strategies for developers using the Claude Code terminal-native coding assistant.
A guide to managing context and using Google's integrated AI tools, Gemini and NotebookLM, for effective knowledge work and research.
A guide to managing context in Gemini CLI, a terminal-native AI development tool, using files, memory, and MCP servers.
A guide to managing context in Google Antigravity, an agent-first IDE, focusing on Skills, Knowledge Items, and Artifacts for autonomous coding workflows.
A guide to context management strategies for OpenCode, an open-source terminal AI coding agent with a dual-agent architecture.
A guide to managing context in OpenWork, a desktop-native AI agent framework for local, multi-step task automation and file system interaction.
A comprehensive guide to mastering context management in Cursor, the AI-native code editor, covering rules, indexing, and workflow strategies.
A comprehensive guide to context management in Windsurf, an AI-powered IDE, covering its Rules, Memories, and Cascade assistant for developers.
A guide to managing AI context in Zed, a high-performance code editor, covering its assistant panel, slash commands, and explicit context philosophy.
A guide to configuring and managing context for AI-powered coding assistants like GitHub Copilot and Continue within VS Code.
