26 related articles

Natural language programming is reshaping frontend development. This article explains AI code generation, Prompt formulas, pitfall avoidance, RAG, Agent orchestration, and skill maintenance.

Agent Skills is a lightweight open-source format that extends AI agent capabilities with plug-and-play skill packages. This article dives deep into the Skills architecture, progressive disclosure, and how it differs from Multi-Agent design.

Agent Skills is a lightweight open-source format that extends AI agent capabilities via plug-and-play skill packages. Learn its architecture, progressive disclosure, and how it differs from Multi-Agent.

Frontier AI is going general: costs are dropping, general models are beating specialized ones in math and competitive programming, and multi-agent workflows are maturing fast.

Codex is OpenAI's AI coding agent that autonomously reads code, fixes bugs, and runs tests — far beyond ChatGPT's code generation. Learn the key differences.

Model performance gaps are closing. Real competitive advantage lies in portable AI agent architecture. Learn how to build a workspace that works across Claude Code, Codex, and beyond — no vendor lock-in.

PawFlow decouples vision and reasoning into two models, letting a text-only LLM reliably control a Linux desktop. A deep dive into its dual-model architecture, pre-click guard, and caching strategy.
Fine-Tuning Cosmos Models in One Day w…
NVIDIA uses Autonomous Coding Agents and Agent Skills with TAO to fine-tune Cosmos visual reasoning models in one day, achieving over 90% accuracy.

Resume full of RAG and Agent but keep failing interviews? The issue is you only run demos and can't explain production engineering challenges. This article breaks down data cleaning, hybrid retrieval, hallucination protection, and agent loop breakers.

In-depth analysis of AI Agent core principles: why LLMs need Agent technology, the evolution from Prompt to RAG to Agent, Agent Tuning methods, and enterprise cost evaluation to help you build enterprise-grade agent applications.

The gap between AI power users and everyone else isn't about prompt tricks — it's about understanding LLMs, multimodal models, workflows, and agents. Build your complete AI mental model here.

A 6-year electrical engineer from Brazil weighs transitioning to AI engineering. This deep-dive covers the stability vs. freedom tradeoff, transition advantages, and a practical roadmap for engineers with similar backgrounds.

As generative AI sweeps the workplace, once-marginalized philosophy and humanities are being revalued. This article explores why critical thinking, ethical judgment, and questioning are the new scarce competencies in the AI era.

Growing data shows companies aggressively adopting AI are actually hiring more. This article explores the overlooked complex relationship between AI and employment through the Jevons Paradox, new job creation, and competitive divergence.

The Agent Fund publicly backs AI startup Sazabi, reflecting the capital frenzy around AI Agents. A breakdown of the team, the fund, and the shift from conversational to autonomous AI.

A deep dive into the four-layer engineering design of AI Agents: planning, memory, tool use, API cost optimization, MCP protocol integration, and Skill encapsulation.
GPT-5.5 and Codex: The Paradigm Shift …
Deep analysis of an OpenAI interview: how GPT-5.5's multimodal creativity breaks new ground, and how Codex multi-agent workflows are reshaping software development — from executor to director.

AI is reshaping the programmer job market: junior roles are disappearing while senior architects grow more valuable. This guide breaks down AI's impact on knowledge workers and outlines three transformation paths for programmers.

Explore how the open-source project marketingskills injects CRO, SEO, and copywriting expertise into Claude Code and AI Agents, and how the Skills paradigm transforms AI into domain specialists.

The Codex Orange Book is an open-source unofficial guide with 2.5K+ GitHub Stars, covering installation, plugins, MCP extensions, and hands-on projects to help beginners master AI programming tools.