70 related articles

Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
Deep DivesDeep dive into NousResearch's open-source Hermes Agent self-evolution framework, using DSPy and GEPA for automated prompt optimization with five-layer safety mechanisms.
TutorialsLearn how to embed decision tree logic in Agent Skills to give AI coding assistants like Antigravity and Claude Code autonomous decision-making. Includes a Code Review Router case study with complexity scoring and failover.
Expert OpinionsDoes outsourcing ruin a developer's resume? Deep analysis of real work experience, resume impact, and career value with job-hopping strategies for programmers.
Product ReviewsiOrchestra is an AI hardware engineer platform that uses multi-disciplinary AI agents to compress PCB, mechanical, and thermal design from months to minutes, covering the full pipeline from natural language input to simulation, BOM generation, and manufacturing.
TutorialsDeep dive into AI Agent context management: a three-step strategy from naive truncation to intelligent memory, covering sub-Agent architecture and long session evals to solve LLM context bloat.
ResearchPrinceton and Google DeepMind propose Continual Harness, enabling LLM agents to automatically build and optimize scaffolding to beat multiple Pokémon RPGs without human intervention, cutting costs by 40%.
TutorialsA deep dive into Context Engineering: core concepts and key techniques including RAG, long-context management, and AI Agent context orchestration for building production-grade AI systems.
Product ReviewsNadirClaw is an open-source, self-hosted LLM router that automatically routes simple tasks to cheap models and complex tasks to premium ones, saving 40-70% on AI API costs with OpenAI-compatible proxy support.
Product ReviewsSimon Willison built an iNaturalist observation viewer using only a phone and Claude Code while camping. This article breaks down the three-layer architecture: Python CLI data aggregation, Git Scraping automation, and AI-generated frontend.