85 related articles

OpenAI releases GPT-5.6 with three tiers: flagship Sol, balanced Terra, and budget Luna. Sol leads competitors by 13 points on Agent benchmarks at one-quarter the cost, rewriting Agent economics.

GPT 5.6 updates Codex with Sol/Terra/Luna model tiers, Ultra thinking mode, 350K context, and stronger autonomous loops. Full hands-on review of all core upgrades.

Many enterprises fail at AI Agents due to choosing the wrong tools and lacking methodology. This article outlines an eight-step Agent development method—from cognitive foundations, scenario selection, hand-writing ReAct, and structured output to Tool Use, RAG, evaluation sets, and production fallback.

OpenAI launches the GPT-5.6 model family (Sol/Terra/Luna) and ChatGPT Work, enabling automated financial analysis, local file operations, Codex coding, and cross-app workflows—AI officially becomes a real work partner.

Complete guide for configuring OpenAI Codex Agent in China, covering installation, API key setup, permission modes, reasoning intensity, and security considerations for third-party relay services.

OpenAI releases GPT-5.6 in three tiers (SOUL/TERA/LUNA) and a unified ChatGPT desktop app with Chat, Work, and Codex modes. Learn how to choose the right version.

OpenAI releases GPT-5.6 (SOUL/TERRA/LUNA), with Ultra mode running four agents in parallel; Meta launches Muse Spark 1.1 with million-token context; ChatGPT desktop unifies Chat, Work, and Codex.

GPT-5.6 is officially released, merging ChatGPT and Codex into one app and launching the three-tier Sol, Terra, and Luna models. A detailed breakdown of 16 hands-on tests plus Worker mode and Codex dev upgrades.

GPT-5.6 (Sol, Terra, Luna) hands-on testing: a Hokkaido farmer controls a greenhouse with AI, a NYC small business builds custom software, and a Polish mathematician breaks a 3-year problem. A deep dive into end-to-end autonomous execution.

Why has AI engineering methodology evolved from prompts to context engineering and now Harness engineering? This article examines three paradigms, key bottlenecks, and the Agent = Model + Harness formula.

ManagedAgents.sh is a model-agnostic managed agent platform from OpenComputer, supporting Claude, Pi, and Codex runtimes with Slack and GitHub integration.

Andrew Ng partners with JetBrains on a new course systematically teaching Spec-Driven Development. By writing high-quality specs, developers can precisely control AI coding agents, eliminate context decay, and boost intent fidelity.

GPT-5.6 launches Soul/Terra/Luna, with flagship Soul scoring 91.9% on Terminal Bench 2.1. This article breaks down the Ultra vs Max reasoning modes, three-tier pricing, and four hidden pitfalls to guide your technical selection.

Master OpenAI Codex fast, even from scratch! Learn Codex vs ChatGPT differences, four versions, interface tips, plugins & skills, browser automation, plus six best practices.

Developer Simon Willison used Claude to ship sqlite-utils 4.0: 37 prompts, 34 commits, $149 API cost — revealing coding agents' real capabilities, cross-model review, and agentic engineering best practices.

A deep-dive evaluation of Addy Osmani, Matt Pocock, and Gary Tan's skill libraries, distilling a 5-step Research→Prototype→Plan→Build→Test agent dev loop and why the best skill system is always your own.

A deep comparison of Codex, Cursor, and Claude Code — pricing, stability, and frontend vs. backend fit. Why frontend developers prefer the Codex app, based on one developer's real migration experience.

Deep dive into Tencent's Marvis AI agent: multi-agent architecture, intelligent file organization, document analysis, cross-device sync, and local privacy mode explained.

In-depth comparison of Codex, Claude Code, and Cursor across price, stability, and frontend/backend strengths, with a practical selection guide for developers.

Deep dive into GitHub's open-source Spec-Kit: 5 core commands and 2 optional checkpoints that solve AI coding drift. From setting Rules to generating code, every step makes the AI pause for your approval.