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Cursor's mobile app is designed for managing AI agents, allowing developers to build features directly from their phones. In a tutorial, a developer used the app to add four features to the Deep Work Timer, including pre…
A developer from TheCodeStreet demonstrates how to set up Alibaba's open-source Qwen 3 large language model with Ollama for local use in VS Code, offering a free alternative to GitHub Copilot. The tutorial covers install…
NumPy, the foundational open-source Python library for numerical computation, provides the N-dimensional array (ndarray) and underpins major data-science tools such as Pandas, SciPy, scikit-learn, and TensorFlow. The lib…
A developer demonstrates how to build a multi-agent health autopilot for chronic disease management using LangGraph and function calling. The system monitors Continuous Glucose Monitor data, autonomously alerts doctors o…
A developer outlines a practical, phase-by-phase roadmap for becoming an AI/ML engineer, emphasizing hands-on projects and real-world deployment over tutorial-based learning. The guide covers fundamentals like building l…
SerpApi and Anthropic's Claude Code can be used to build an AI event discovery agent that finds conferences, meetups, and webinars matching user preferences and generates a Markdown report with Google Calendar links. The…
Developer Tanay Kamath has built Nova, an AI-powered personal assistant that offers philosophical life coaching, using LangChain and Mistral AI. The application, hosted on Streamlit, was developed after completing a Gene…
A developer has built a RAG-powered database assistant using PostgreSQL and pgvector, enabling natural-language queries to be answered in seconds. The system retrieves schema metadata via vector similarity search, genera…
A developer recounts how an MCP server nearly deleted production data, then provides a hands-on tutorial for building LLM guardrails into MCP servers. The article covers three security layers—input sanitization at the MC…
Most developers copy temperature=0.7 from a tutorial and never adjust it, but sampling parameters like temperature and top-p critically control LLM output, according to a developer who spent a weekend debugging an extrac…
Moonshot AI's Kimi CLI can be configured as a fully non-interactive AI coding agent through a Python wrapper that executes headless commands, enabling automated code inspection, modification, testing, and iteration. The …
PrismML released the 1-bit Bonsai-27B language model, deployable via a specialized fork of llama.cpp with CUDA kernels for the Q1_0_g128 GGUF format. The model requires only ~5.2 GB peak memory at 4K context and supports…
AAIF's Goose agent now supports OpenTelemetry observability, enabling developers to trace and understand AI agent decision-making. The integration, detailed in a tutorial by AAIF, uses Goose v1.43.0 with the Claude ACP p…
A prompt engineering tutorial explains that AI detectors flag content based on mathematical consistency, not word choice, and provides a high-performance prompt to bypass detection by maximizing perplexity and burstiness…
A new benchmark and tutorial series from developer dotnetspark reveals that model-routing systems optimize the wrong axis by routing queries to models without grounding, finding that a cheap local model (phi3:mini, ~3.8B…
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry, offering tools from inspiration to implementation. The platform features a large library of re…
A developer built a production AI agent in TypeScript using Mastra, a TypeScript-first agent framework with 24k+ GitHub stars and 88 releases as of May 2026. The framework reduces boilerplate from 400 lines of raw SDK co…
Most multi-agent AI systems add unnecessary complexity and cost, argues a new analysis. Every additional agent introduces another LLM call, prompt, context window, handoff, and failure point, yet many tutorials fail to j…
NovapAI provides a practical guide for integrating open-weight large language models like Llama, Mistral, Falcon, and Qwen into applications via a standardized API layer. The tutorial covers the HTTP contract, code examp…
Legacy codebases encode organizational history in formats that AI agents cannot safely interpret, leading to architectural hallucinations when agents apply public-code patterns to enterprise systems. Vibe coding's low no…