242 related articles
GPT-5.4 Powers a Drug Chemistry Projec…
GPT-5.4 teams with Maria AI and automated labs to complete a full drug chemistry closed loop—from literature review and hypothesis generation to experimental validation.

Deep dive into Claude Code's leaked source revealing the 5-step AI coding Agent mechanism: progressive disclosure, precise indexing, surgical edits, auto-verification & graceful termination.

Claude Code lead Boris Cherny shares insights on 100% AI coding, ROI thinking frameworks, Loops automation, Fable model capabilities, and how engineers are shifting from coding to product intuition and system design.

Veteran developer Mario Zechner dissects flaws in Cloud Code, OpenCode, and Cursor, then builds Pi — a minimalist coding Agent with just four tools and deep extensibility.

Deep dive into how KV Cache reduces LLM API costs by 20x. From Transformer attention matrix multiplication overhead to prompt caching best practices, understand the fundamentals of AI inference cost optimization.

Karpathy's Claude Code methodology: build a self-evolving AI environment using CLAUDE.md, knowledge bases, Skills, and Hook guardrails for compounding efficiency.

Three controlled experiments compare pure Prompt, pre-prepared assets, and Godot engine strategies for Vibe Coding an English learning game — revealing dramatic differences in quality and Token cost.

A deep dive into AI engineering with Codex and Claude Code: Vibe Coding limitations, Chinese LLM rankings, Skill-driven development, and enterprise project practices.

What is Vibe Coding? Learn the core philosophy, three key traits, and boundaries of this AI-powered approach. Get a complete beginner's learning path with tools like Cursor and Bolt.new.

From manual AI prompting to building automated loops — let Agents prompt, review, and merge code themselves. A real-world case: one message triggers four PRs auto-reviewed and merged overnight.

India's Telegram ban triggers a surge in VPN downloads as users migrate to Signal, WhatsApp, and other alternatives, sparking global debate on internet freedom vs. content governance.

Deep dive into the AI coding paradigm shift: from hand-crafted prompts to self-prompting agent loops. Learn how agent self-review and proactive context fetching enable scalable, high-quality AI coding.

Deep dive into Loop Engineering: core mechanisms, three major pain points (reliability, cost, context bloat), and Harness workflow solutions including mixed model strategies and Human in the Loop.

A deep dive into Harness AI engineering programming, covering SDD, Agentic Scale development, and practical solutions for enterprise AI coding challenges.

In-depth comparison of Codex and Claude Code for enterprise AI development, covering Vibe Coding limitations, multi-Agent workflows, OpenRouter platform architecture, and programmer learning paths.

A deep dive into Pi, a minimalist AI coding Agent framework covering multi-model support, extensions, skill loading, and hands-on custom extension building with model mixing strategies.

A deep dive into Loop Engineering covering Agent Loop workflows, code implementation (While loops and Graph patterns), and how it differs from Prompt Engineering.

Complete guide to Coze workflow development covering Agent building, node orchestration, plugin systems, API integration, and a Coze vs Dify comparison.

A complete walkthrough of building Tetris from scratch using Trae AI IDE with zero coding, covering 4 rounds of iterative AI dialogue, bug fixes, and practical tips for AI-assisted programming.

DeepSeek forms a dedicated Harness team to rival Claude Code. Analysis of the four-layer architecture, three core advantages, and 40x cost edge driving AI competition from model wars to engineering deployment.