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diagram-design is a 19.2K-star open-source project providing Claude Code with 27 visual types and 3 themes, upgrading AI-generated architecture diagrams from generic rounded boxes to professional editorial-quality charts.

archify is a viral GitHub project that works as an AI Agent Skill to auto-generate verifiable architecture, sequence, and data-flow diagrams as self-contained HTML files with animations.

Lucid Train auto-generates architecture diagrams from codebases and uses them as specs for coding agents, with fully offline local model support.

Draw.io Skill is an open-source skill extension for AI Agents, featuring 11 diagram presets, 36 tools, and 10,000+ official icons to generate editable professional Draw.io diagrams from natural language.

Reflecting on the rise and fall of 90s CASE tools and their parallels to today's AI coding assistants. Why tools evolve but an engineer's judgment remains the ultimate competitive advantage.

Are whiteboards still valuable in the age of AI and deep learning? Explore how whiteboard thinking enhances DSP, ML, and engineering problem-solving workflows.

GitDecode is an AI-powered code understanding tool that uses a graph-native AST engine to build knowledge graphs, offering interactive architecture diagrams and natural language chat for codebase exploration.

A systematic comparison of AI coding tools including ChatGPT, Gemini, Claude, Cursor, Claude Code, and Codex — covering pricing, setup, and access solutions to help developers choose the right combination.

GitHub Trending Aug 28: Agent Skills dominate the chart as developers build capability packs for AI assistants. gods-eye-view brings satellite intelligence to browsers, archify auto-generates architecture diagrams.

No one contributing to your open source project? Learn how to choose promotion channels, optimize your README, break down tasks, and build community to attract collaborators.

Discover ML System Map, a free interactive tool for learning ML system design through animated flows, component breakdowns, and build order guidance based on real production systems.

Deep analysis of two core Java interview skills in the AI era: driving LLMs to complete dev tasks, and leveraging solid Java fundamentals to catch AI's mistakes. Covers resume tips, RAG, prompt engineering, and project highlights.

Deep dive into three core AI video generation technologies: diffusion models, motion transfer, and optical flow — the tech behind Sora, Runway, and more.

A systematic guide to drawing professional CNN architecture diagrams using mainstream tools like NN-SVG, PlotNeuralNet, Netron, and torchviz for papers and projects.

AI programming experts spend 80% of their time on requirements and design. Learn MVP-first strategy, model tier allocation, and dual-tool workflows for real-world AI development projects.

Learn how to set up an AI-assisted Siemens TIA Portal PLC programming environment using VSCode, Claude Code, and the TIA Portal Import plugin.

A detailed walkthrough of building an end-to-end MLOps laundry care recognition system, covering automated data collection, model retraining, Docker containerization, AWS deployment, and Grafana+Prometheus monitoring.

Roundup of 9 AI open-source projects from GitHub Trending, covering Needle's 14MB edge model, AI Agent workspaces Macro and OlaOS, SpecKit for spec-driven development, and more.

Explore optimization strategies for code visualization tools, how good design reduces cognitive load and shortens learning curves, and the industry shift from functionality-first to experience-first.

A systematic guide to ML system design interview prep, covering legal access to key books by Chip Huyen and others, standard answer frameworks, learning paths, and free resources for AI/ML engineers.