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AI for Developers
FreeGo from AI-curious to AI-native. Learn to ship faster with coding assistants, write better tests and docs automatically, prompt AI APIs correctly, build RAG pipelines and agents, run local models, and put AI features into production with confidence.
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Tutorials & tasks
Explore freely — jump to any step at your own pace.
- 1The Developer's AI Mindset: What's Real, What's Hype, and How to Use It WellTutorial
- 2The Three Modes of AI-Assisted DevelopmentTutorial
- 3Set Up Codeium: Free AI Code Completion in Any EditorTutorial
- 4Use AI in your code editorTask
- 5Set Up Cursor for Full Codebase ChatTutorial
- 6Use Continue for a Large Codebase RefactorTutorial
- 7AI code review and refactoringTask
- 8Generate and Maintain E2E Tests with OctomindTutorial
- 9Generate tests from code with AITask
- 10Write code documentationTask
- 11Prompt Engineering: Role, Context, and StructureTutorial
- 12Prompt Patterns Every Developer Should KnowTutorial
- 13Extract Structured Data from Documents with ClaudeTutorial
- 14Extract structured data from documentsTask
- 15Why Developers Should Run AI Models LocallyTutorial
- 16Install Ollama and Run LLMs Locally in 5 MinutesTutorial
- 17Set Up Open WebUI with Ollama: Your Own ChatGPTTutorial
- 18Set Up RAG in Open WebUI: Query Your DocumentsTutorial
- 19RAG Pipeline Architecture: What Developers Need to KnowTutorial
- 20Build RAG pipelineTask
- 21AI Agent Design Patterns for DevelopersTutorial
- 22Build AI agents and multi-agent workflowsTask
- 23Build a Custom GPT with Actions and KnowledgeTutorial
- 24Build Your First n8n Workflow (Self-Hosted Automation)Tutorial
- 25Build a full-stack app with AITask
- 26Production AI: Reliability and Cost ManagementTutorial
- 27Production AI: Safety, Observability, and MonitoringTutorial
- 28Multi-Model Routing and Provider ManagementTutorial
- 29Deploy AI modelsTask
- 30Shipping AI Features to Production: The Six Things That Will BreakTutorial
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