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#python#agents#ai#ai_engineer#ai_engineering#copilot#data_science#data_scientist#generative_ai#gpt#machine_learning#ml_engineer#ml_engineering#openai AI Data Science Team is a free Python library with AI agents that speed up your data work 10X by handling loading, cleaning, visualization, EDA, feature engineering, modeling, and SQL tasks. Its flagship AI Pipeline Studio app creates visual, reproducible pipelines you can run with Streamlit after easy install (Python 3.10+, OpenAI or Ollama). This saves you hours on repetitive jobs, boosts accuracy, and lets you focus on insights and business results. https://github.com/business-science/ai-data-science-team

#rust#ai#ai_engineering#anthropic#artificial_intelligence#deep_learning#genai#generative_ai#gpt#large_language_models#llama#llm#llmops#llms#machine_learning#ml#ml_engineering#mlops#openai#python#rust TensorZero is a free, open-source tool that helps you build and improve large language model (LLM) applications by using real-world data and feedback. It gives you one simple API to connect with all major LLM providers, collects data from your app’s use, and lets you easily test and improve prompts, models, and strategies. You can see how your LLMs perform, compare different options, and make them smarter, faster, and cheaper over time—all while keeping your data private and under your control. This means you get better results with less effort and cost, and your apps keep improving as you use them[1][2][3]. https://github.com/tensorzero/tensorzero

#typescript#ai_agents#ai_assistant#ai_coding#ai_coding_tools#ai_engineering#ai_tools#anthropic#anthropic_claude#claude#claude_ai#claude_code#claude_context#claude_mem#claude_skills#claudecode#mcp#model_context_protocol#software_engineering#spec_driven_development Claude Pilot enhances Claude Code by enforcing production-grade quality automatically. It adds mandatory testing, automatic code formatting and type checking, and persistent memory across sessions so your AI assistant maintains context on complex projects. Instead of babysitting Claude's output, you start a task, grab coffee, and return to verified, tested code ready to ship—saving hours on manual review and catching bugs before they reach production. https://github.com/maxritter/claude-pilot