370 related articles

Codex is OpenAI's AI programming assistant that lets you write code in natural language. This article breaks down Codex's core features, use cases, and why programmers must master AI coding tools.

Facing US chip bans and closed-source monopolies, how do China's open-source AI models keep striking back? A deep dive into three core paths: open-source pricing-power games, optical interconnect positioning, and edge-side use cases.

Facing US chip bans and closed-source monopoly, how do China's open-source AI models keep fighting back? A deep dive into three core paths: open-source pricing games, optical interconnect positioning, and on-device scenarios.

NanoClaw founder David Boyd breaks down the core engineering of enterprise autonomous Agents: a triple security isolation model, LLM Wiki memory design, and the real-world path from personal Agents to team-scale deployment.

In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.

An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.

Can beginners really earn over 10,000 yuan in their first month with AI coding gigs? This article breaks down the four-week AI coding learning path week by week and objectively assesses the real monetization barriers.
Mindwalk: Replaying AI Coding Agent Be…
Mindwalk renders codebases as 3D maps, visually replaying the full operation trajectories of AI coding agents like Claude Code and Cursor. A deep dive into its core ideas, use cases, and the future of agent observability tools.

Comparing Codex, Claude Code, OpenHands, and Hermes? This guide breaks down each AI Agent's core purpose using a real-world scenario, with a selection checklist and three pitfalls to avoid.

Anthropic engineers reveal Claude Code's 18-month evolution: system prompt cut by 80%, 65% of PRs shipped automatically by AI, Claude Tag collaboration, and the safety logic behind auto mode.

An in-depth guide to Anthropic's Claude Code agentic coding tool, covering installation, pricing plans, model selection, token management, CLAUDE.md global memory, MCP integration, Subagents, and more.
jcode Deep Dive: Why Rust Is the Ideal…
jcode is an open-source Coding Agent framework built in Rust, gaining nearly 200 GitHub Stars in a day. Explore its architecture, Rust advantages, and application potential.

A deep dive into the 7 core components for building long-running AI Agents: Goal, Evaluator, Verifier, Loop, Orchestration, Observability, and Memory.

Claude Sonnet 5 benchmarked: near-Opus 4.8 performance but poor token efficiency makes it pricier than the flagship. Full analysis of pricing, safety tradeoffs, and real-world results.

Andrew Ng and Anthropic's Claude Code course covers RAG development, data analysis, and Figma-to-frontend projects, with deep dives into context management, MCP tools, and CLAUDE.md architecture.
Can Vorflux Disrupt the AI Coding Agen…
An investor's tweet benchmarked AI coding assistant Vorflux against Devin, claiming it "wins hands down" and predicting a $100B valuation. Here's a rational breakdown.

Heap Code is an open-source VS Code extension supporting local models via Ollama and LM Studio, plus OpenAI-compatible APIs. Features completions, chat, inline edit, and agent mode — zero telemetry, no account required.

Google's DevTools for Agents opens Chrome DevTools to AI coding agents, enabling autonomous end-to-end debugging — from reproducing errors to fixing source code — via console logs, network requests, and source maps.

Chrome DevTools for Agents, unveiled at Google I/O, gives AI coding agents a closed feedback loop with Lighthouse audits, user input simulation, and device emulation.
GitHub Daily · July 19: The Dual Advan…
GitHub Trending July 19: ktransformers tops the list with heterogeneous inference optimization, while jcode, cua, and AstrBot signal a maturing Agent ecosystem.