720 related articles
TutorialsA detailed 5-step prompt workflow using Claude 4.5 Haiku for YouTube SEO: title generation, script creation, chapter timestamps, thumbnail design, and internationalization—all in 10 minutes.
Deep DivesExplore how the Singulari-Tea Codex open-source project applies the Single Responsibility Principle (SRP) to Prompt architecture design, building a modular AI narrative system optimized for Gemini 2.5 Pro.
Tech FrontiersAnthropic releases Claude Haiku 4.5, a distilled version of Sonnet 4.5 with near-flagship coding performance, double the speed, and one-third the cost. Scores 73.3 on SWE-Bench, ideal for developers seeking cost-efficiency.
TutorialsDeep dive into the 51.8K Star Claude Code best practices project on GitHub, covering Prompt Engineering, efficient Web Coding, multi-Agent collaboration, and more.
Deep DivesA deep dive into D2C (Design to Code) technology, comparing it with traditional development and Vibe Coding, covering Figma AI implementation, three-level interview questions, and enterprise architecture design.
TutorialsDeep dive into SDD specification-driven development methodology with 4 enterprise-level Vibe Coding projects including Chat BI and multimodal knowledge bases, covering Cursor, Claude Code, and Prompt Engineering.
Product ReviewsIn-depth testing of OpenAI's GPT-Image-2: from Japanese fashion lookbooks to photorealistic portraits, one prompt generates professional-grade designs. Exploring its impact on designers and deepfake concerns.
TutorialsDeep dive into a Go-based generative recommendation system powered by LLMs, covering three-level semantic understanding, three-layer user memory, and five-dimensional feedback design.
TutorialsA deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
Deep DivesDeep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
TutorialsA comprehensive guide to building production-grade AI Agents with LangChain, covering architecture design, tools, memory systems, ReAct strategy, and enterprise deployment.
Product ReviewsEdukaci is an open-source AI tutoring platform for Francophone West Africa, built on Claude with strict Socratic teaching, aligned with Côte d'Ivoire's BEPC curriculum, and integrated with PhET virtual labs.
TutorialsLearn how to build an AI Agent on Dify with zero code, covering Function Call vs ReAct modes, Exa search tool setup, time-awareness solutions, and Agent best practices.
Deep DivesDeep dive into Context Engineering: its core principles and practices. From Prompt Engineering to context design, orchestration, and optimization—exploring how Karpathy's new AI paradigm reshapes LLM app development and AI Agent construction.
TutorialsSimon Willison built a complete iNaturalist observation display tool using only his phone and Claude Code while camping. A breakdown of the three-layer architecture: Python CLI, Git Scraping automation, and pure frontend display.
Expert OpinionsThe Zig programming language enforces the strictest anti-LLM policy in open source, banning AI in PRs and Issues. Its "Contributor Poker" philosophy reveals why: open source value lies in cultivating people, not merging code.
ResearchAnthropic research reveals Claude's sycophancy problem: only 9% overall, but 38% for spirituality topics and 25% for relationships. Deep analysis of causes, evaluation methods, and AI alignment implications.
Tech FrontiersDeep dive into the Kimi-Writer open-source project — an AI novel writing Agent built on Kimi-K2-Thinking with deep reasoning, autonomous planning, and long-form narrative capabilities.
ResearchAnthropic research reveals Claude's sycophancy rate hits 38% on spiritual topics and 25% on relationships, far exceeding the 9% overall average. Analysis of causes, impact, and user strategies.
Product ReviewsSimon Willison built an iNaturalist observation gallery using only his phone and Claude Code while camping. A breakdown of the three-layer architecture: Python CLI clustering, Git Scraping automation, and AI-generated frontend.