AI Resources
Section titled “AI Resources”Learning platforms, tool directories, APIs, and key people to follow.
Browser Tabs Config
Section titled “Browser Tabs Config”| Service | URL | Best For |
|---|---|---|
| Google AI Studio | https://aistudio.google.com | Very generous limits |
| Claude.ai | https://claude.ai | Deep thinking, writing |
| ChatGPT | https://chatgpt.com | General purpose |
| Gemini | https://gemini.google.com | Google integration |
| Grok | https://grok.com | Real-time information |
| Perplexity | https://www.perplexity.ai | Research with sources |
| NotebookLM | https://notebooklm.google.com/ | Research, learning |
| LMArena | https://lmarena.ai | Compare 2 models side by side |
Learning Platforms
Section titled “Learning Platforms”| Platform | Focus | Cost |
|---|---|---|
| Anthropic Learn | Claude Code in Action | Free |
| OpenAI Academy | Research, writing, coding | Free |
| Deep Learning AI | CC agentic coding course | Free |
| Warp University | Warp terminal | Free |
AI Tool Directories
Section titled “AI Tool Directories”| Directory | URL |
|---|---|
| Futurepedia.io | Largest AI tools directory |
| FutureTools.io | Curated tools |
| FindMyAITool | https://findmyaitool.com/ |
| The Rundown AI | https://supertools.therundown.ai/ |
| AITools.fyi | https://aitools.fyi/ |
| AIValley | https://aivalley.ai/ |
| There’s An AI For That | https://theresanaiforthat.com/ |
AI Tools
Section titled “AI Tools”- Top AI Github projects
- Firecrawl: parse web content to markdown, JSON, links, screenshots, HTML
- AutoGPT
Free AI APIs
Section titled “Free AI APIs”- Google Gemini API: multimodal AI, code gen, research agents
- https://cloud.google.com/vertex-ai/generative-ai/docs/overview
- Very generous free tier
Models Quick Reference (2026)
Section titled “Models Quick Reference (2026)”| Provider | Models | Notes |
|---|---|---|
| Anthropic | Opus 4.5, Sonnet 4.5, Haiku 4.5 | Primary for serious work |
| OpenAI | GPT 5.1 | Strong general purpose |
| Gemini 3.0 | Great free tier | |
| Zhipu | GLM-4.6/4.7 | Best value (~1/7th Claude cost) |
People to Follow (CC Ecosystem)
Section titled “People to Follow (CC Ecosystem)”| Person | Focus |
|---|---|
| Boris Cherny | CC creator, official best practices |
| Joe Njenga | Prolific CC tutorials and cheat sheets |
| Rick Hightower | Skills ecosystem, Spillwave Solutions |
| Alireza Rezvani | CC advanced strategies, subagents |
| Marco Kotrotsos | Skills/agents philosophy |
| JP Caparas | CC community curation |
Full list: Who to Follow for Claude Code
Key RAG Resources
Section titled “Key RAG Resources”- All Best RAG Strategies in One MCP
- Haystack — Q&A over own data
MCP (Model Context Protocol)
Section titled “MCP (Model Context Protocol)”MCP defines how AI tools connect to external systems. Skills define behavior; MCP defines transport.
Priority MCPs to Set Up
Section titled “Priority MCPs to Set Up”| MCP | Purpose |
|---|---|
| GitHub MCP | Git operations: https://github.com/github/github-mcp-server |
| Filesystem MCP | File operations: https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem |
| Context7 MCP | Up-to-date docs for LLM: https://github.com/upstash/context7 |
| Chrome DevTools MCP | Browser debugging and testing |
| Playwright MCP | Browser automation |
| Sequential Thinking MCP | Structured problem-solving |
| Sentry MCP | Bug analysis -> fix in one flow |
| Windows CLI MCP | PowerShell/CMD/Git Bash: https://github.com/SimonB97/win-cli-mcp-server |
MCP Marketplaces
Section titled “MCP Marketplaces”- Official registry: https://github.com/modelcontextprotocol/registry
- Smithery: https://smithery.ai/
- MCP Servers: https://mcpservers.org
- Cline marketplace (extensive)
Gemini CLI
Section titled “Gemini CLI”- Free CLI with generous limits
GEMINI.mdfor project config (like CLAUDE.md)- Google Cloud Shell Editor: 50 hours/week free
- Cheat sheet: https://medium.com/ai-software-engineer/my-gemini-cli-cheatsheet-will-take-you-from-zero-to-hero-in-minutes-you-need-this-90d4fc1dd6b8
Gemini CLI Conductor
Section titled “Gemini CLI Conductor”- Spec-driven development: track -> spec -> plan -> implement
/conductor:newTrackcreates spec + plan/conductor:implementfollows plan.md with checkpoints- https://developers.googleblog.com/conductor-introducing-context-driven-development-for-gemini-cli/
Warp AI Terminal
Section titled “Warp AI Terminal”- Subscription: ~$20/mn usage-based
- Warp Drive: maintains context for humans and AI agents
- Docs: https://docs.warp.dev/
- University: https://www.warp.dev/university
Google Tools
Section titled “Google Tools”- Jules: free (15 tasks/day), supports Astro, uses AGENTS.md — https://jules.google.com
- Opal: no-code AI mini-apps, internal automations
- Antigravity: IDE with generous daily limits for Claude Opus/Sonnet
- AI Studio: https://aistudio.google.com (generous free limits)
Browser Automation
Section titled “Browser Automation”- Playwright: primary browser automation tool + MCP + Skill
- Agent-Browser (Vercel Labs): saves 93% context window
- Claude Chrome Extension: browser control from Claude
- Nanobrowser: zero-setup FOSS browser automation
Other Dev Tools
Section titled “Other Dev Tools”- DeepAgent Desktop (Abacus.ai): SOTA coding agent, $10/mn
- AugmentCode.com: large codebase specialist
- OpenRouter: access any LLM from single connection
- DevToys: offline Swiss-army tool (JWT, regex, color, diffs)
- OpenHands: AI agent for commands, edits, tests (FOSS)
- Snyk: security checking
- Polypane: browser for responsive design and accessibility
Local / Private AI
Section titled “Local / Private AI”For IP privacy and overnight agentic work:
- AnythingLLM: any LLM locally, FOSS — https://anythingllm.com/
- Doc-Serve: private knowledge vault for coding agents
- Devstral Small 2: cloud-grade coding locally
- Llamafile: run models 30-500% faster than Ollama on CPU
- Optimal hardware: AMD Ryzen AI Max 395, 64-128GB RAM, RTX 4090/RX 7900 XTX
AI Agent Frameworks
Section titled “AI Agent Frameworks”| Framework | Strength |
|---|---|
| AutoGen (Microsoft) | Most developer-friendly |
| LangGraph (LangChain) | Visual workflows, fine-grained memory |
| CrewAI | Structured teams, role-based execution |
| MetaGPT | Models engineering teams (PM, Dev, QA) |
| String.com | Prompt, run, edit, deploy agents in seconds |