32 related articles

Complete guide to OpenAI Codex setup: CLI installation, VS Code extension config, Agents.md best practices, MCP integration, and programmatic usage for efficient AI coding workflows.

A deep dive into Claude Code's positioning and use cases, covering the five evolutionary stages of AI programming tools from traditional coding to autonomous agents.
Claude Code Creator Reveals: Programmi…
Claude Code creator Boris Charney shares how AI programming has been solved: from 150 daily PRs to agent loops running 24/7, and why coding will become as universal as literacy.
AI Agent Development Learning Roadmap:…
A systematic AI Agent development learning roadmap covering LLM API calls, ReAct framework, memory mechanisms, and multi-agent collaboration across four stages with timeline and project suggestions.
TutorialsAndrew Ng and Anthropic launch a Claude Code course covering RAG chatbots, data analysis, and Figma-to-web apps, with MCP server integration and parallel session best practices.
Deep DivesDeep dive into how Claude Code works, including the Agentic Loop, automatic context compaction, tool calling, and permission modes that power autonomous AI programming.
Product ReviewsIn-depth comparison of OpenClaw and Hermes open-source AI Agent frameworks covering architecture, memory systems, auth, plugins, and channel distribution to guide developer selection.
Expert OpinionsReplit CEO Amjad Massad on AI coding models hitting a ceiling, competition shifting to product engineering, SaaS being replaced by AI Agents, the death of the IDE, and multi-model orchestration.
TutorialsDevelopers successfully reverse-engineered Claude Code's full source and open-sourced it, supporting local deployment, third-party model integration, and MCP tool invocation.
TutorialsDeep dive into Claude Code's four core agent modules: system prompt, Agent Loop, tool system, and memory mechanism. Build a Mini Claude Code from scratch in TypeScript.
TutorialsZero2Agent is an open-source interview prep tutorial covering Agent fundamentals, LangGraph/Claude Code analysis, interview question banks, and coding practice tools for landing Agent engineer roles at top tech companies.
TutorialsDeep analysis of Claude Code's four core agent modules: Agent Loop, Tool System, Skills, and Memory, with a TypeScript minimal implementation guide for frontend engineers transitioning to AI development.
TutorialsA detailed guide comparing three Claude Code agent deployment methods—Cron Loop, Desktop/Cloud Routines, and Modal/Trigger.dev—analyzed by run location and determinism to help developers choose the best strategy.
TutorialsDeep dive into Claude Code's source code startup and bootstrap flow, from CLI entry's on-demand loading design and REPL startup to sentiment analysis and the Agent Loop prelude.
Industry InsightsDeep analysis of the Claude Code source leak, comparing OpenCode architecture differences, revealing how Harness Engineering determines the floor of Agent capabilities.
Industry InsightsDeep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
Industry InsightsLangChain unveils a full-lifecycle toolchain for Agent development at Interrupt, covering Deep Agents 0.6, SmithDB, Context Hub, LLM Gateway, and LangSmith Engine.
Building AI Agents with Node.js: Repla…
Learn how to refactor a Node.js AI Agent using Function Calls instead of prompt engineering. Covers tool definition via JSON Schema, the Agent Loop, and key implementation details from analyzing Claude Code.
ResearchDeep dive into how the Humanize framework transforms LLM tokens into engineering productivity via Agent Loops. Covers KDA winning CUDA kernel contests, virtual hardware optimization, and 50% research cost reduction.
Tech FrontiersSGLang team hosts an Agent Loops Office Hour exploring inference optimization for agentic loops, covering KV Cache reuse, low-latency multi-turn dialogue, and tool calling techniques.