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Claude

lastmod 2026-10-01created 2023-05-2526 edits

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Claude Connectors for creators

  • Claude for creative work | GeekNews
  • Ableton: Builds Claude's answers on the official documentation for Live and Push
  • Adobe for creativity: Handles image, video, and design work based on 50+ Creative Cloud tools, including Photoshop, Premiere, and Express
  • Affinity by Canva: Automates repetitive production tasks such as batch image adjustments, renaming layers, and exporting files, and can also build custom features inside the app
  • Autodesk Fusion: Lets Fusion subscribers create and modify 3D models through conversation with Claude
  • Blender: Lets you work with Blender's Python API in natural language, making it easier to understand complex settings and access documentation
  • Resolume Arena, Resolume Wire: Lets VJs and live visual artists operate Arena, Avenue, and Wire with real-time natural language control
  • SketchUp: Lets you sketch out room, furniture, and site concepts through conversation, then hand them off as a starting point for 3D modeling and keep refining them in SketchUp
  • Splice: Lets music producers search a royalty-free sample catalog inside Claude

Claude 3.5 Sonnet

Field notes from shipping real code with Claude

A summary of how to realistically achieve a 10x boost in development productivity and practical know-how from applying the AI tool Claude to a real service

  • 'vibe-coding' is not just a fad but a practical methodology; with the right development habits and infrastructure, you can maximize AI's strengths and make up for its weaknesses
  • AI's role is clearly divided into three modes, 'first-drafter', 'pair programmer', and 'code reviewer', and documentation and guardrails suited to each stage are essential
  • The key is to use a 'CLAUDE.md' file in every project to clearly document conventions, architecture, patterns, prohibitions, and so on, and to guide the AI effectively with 'anchor comments' in the code
  • Test code must be written by humans, and boundaries must be strictly set so that AI cannot modify core areas such as tests, migrations, security, API contracts, and secrets
  • Teams that adopt AI coding with the right boundaries and habits can greatly improve deployment frequency, stability, and development speed, and sharing real operational know-how and patterns is becoming central to AI development culture

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