AI Tools Developer

⏱️ Total Duration for Stage 0: 299 minutes (approximately 5 hours)

💡 Key concepts: tokens, context window, temperature, API requests, embeddings, semantic search.

🎯 Tips: practice small prompts and analyze responses. Experiment with vector search before building complex RAG systems.

⚠️ Common pitfalls: ignoring rate limits, not understanding when RAG is actually needed.

⏱️ Total Duration for Stage 0: 328 minutes (approximately 5.5 hours)

💡 Key concepts: tools vs resources, URIs, schemas, runtime execution, streaming data.

🎯 Tips: think of MCP as "plugin architecture for AI". Use resources for static data, tools for actions.

⚠️ Common pitfalls: not testing in Inspector, choosing wrong abstraction (tool vs resource).

💡 Key concepts: REST endpoints, JSON schema design, request limits, caching, queues.

🎯 Tips: start small – create a "summarizer" API, then expand. Cache aggressively to save costs.

⚠️ Common pitfalls: unhandled async calls, missing validation, not implementing rate limiting early.

⏱️ Total Duration for Stage 3: ~120 minutes (approximately 2 hours)

💡 Key concepts: agent loop, planner strategies, internal reasoning, tool selection, recursion, multi-agent collaboration.

🎯 Tips: observe how agents decide next actions, practice tracing an agent’s loop, understand when human-in-the-loop is needed.

⚠️ Common pitfalls: infinite loops, over-trusting the agent, giving too much freedom, missing safety rails.

⏱️ Total Duration for Stage 4: ~123 minutes (just over 2 hours)

💡 Key concepts: planning, reasoning, tool orchestration, delegation, multi-agent systems, autonomy loops, memory.

🎯 Tips: trace the internal loop of the agent, watch how it selects tools, monitor its reasoning steps, enforce safety rails.

⚠️ Common pitfalls: infinite loops, tool misuse, over-delegation, missing stop conditions, "hallucinated planning".

💡 Key concepts: deployment pipelines, containerization, CI/CD, responsive UI, security, observability.

🎯 Tips: keep UI minimal and functional. Never commit API keys to git.

⚠️ Common pitfalls: missing environment variables, ignoring error handling, not sanitizing inputs for prompt injection.

💡 Key concepts: communication, documentation, personal branding, visibility, community building.

🎯 Tips: share process, not just results. A 2-minute demo video is worth 1000 words.

⚠️ Common pitfalls: waiting for perfection , publish early and iterate. Don't skip documentation.