113 related articles

Onboard-CLI is an open-source CLI tool combining LLMs and AST analysis to help developers quickly visualize and understand unfamiliar codebases. A deep dive into its tech approach, use cases, and limitations.

Visa's open-source Agentic security testbed Harness orchestrates threat modeling, vulnerability research, adversarial reproduction, and structured reporting into an auditable pipeline — not just a scan button.

Google lets businesses connect their Google Business Profile to Gemini, so the AI can read operating info, reviews, and business data to offer targeted marketing advice—lowering AI barriers for SMBs.

Intimidated by AI Agent development? This article breaks down the two biggest beginner pain points and reveals why the real skill isn't memorizing APIs, but mastering requirement decomposition, workflow design, and problem-solving.

Use NotebookLM for cross-document AI research and reasoning, Obsidian for long-term knowledge storage and linking. Combine both to build a second brain that gets smarter with use.

A YouTuber spent 24 hours learning Rust from zero with no AI tools, mastering ownership, borrowing, and a game engine to build a complete Brick Breaker game. Full account of every challenge.

Portuguese startup Amble launches an electric buggy positioned as a 'second car,' entering the leisure mobility market with boxy design and minimalist philosophy—no autonomous driving, no range race.

Struggling with math and Python when learning AI from scratch? This article lays out a five-step entry path: grasp the concepts, learn Python lightly, master ML and deep learning principles, get hands-on with PyTorch, then deepen understanding through real projects.

Gemini CLI is Google's open-source AI terminal tool that deeply integrates Gemini model capabilities into the command line—supporting code generation, file operations, Shell execution, and MCP protocol extensions, with 1,000 free daily requests.

Google Gemini's latest Drops update: real-time voice-to-image generation lowers creative barriers, plus new small business AI tools. A deep dive into multimodal AI strategy.

DeepSeek and Peking University release DiSpark, an open-source framework that speeds up LLM inference by 60–85% using speculative decoding and hierarchical verification — no hardware changes or retraining required.

Silicon Valley tech giants are quietly abandoning the doomsday 'AI destroys jobs' narrative in favor of AI augmentation and human-AI collaboration. A deep analysis of the reality gap, regulatory pressure, and business logic behind this reversal.

Thomson Reuters CEO Steve Hasker shares his personal AI routine: analyzing documents, managing his calendar, and gaining insights every Monday. A look at how leaders drive real enterprise AI transformation through practice and continuous learning.

Why do tech founders go quiet for months? This deep dive explores the real reasons behind periodic disappearances: dev cycles, stealth mode strategy, and the attention economy.

Emily Bender clarifies the original meaning of 'Stochastic Parrots': LLMs generate text via statistical modeling but lack true understanding of meaning. An overview of the form-vs-meaning debate and its implications for AI honesty.

A deep dive into AI Agent architecture and enterprise deployment. From LangChain and ReAct design to dynamic tool calling and multi-task recognition — build autonomous enterprise AI assistants.

Step-by-step guide to building a complete RAG pipeline with Ollama + LangChain + FAISS + Qwen 1.5B. Run document retrieval and intelligent Q&A locally without a GPU.
Google Invests $1.5 Billion to Expand …
Google announces $1.5B phased expansion of its Jackson County, Alabama data center campus. Explore the site selection logic, AI compute race, and community impact.

Alibaba open-sources Page-Agent, a TypeScript-based in-page JavaScript GUI agent that lets users control web interfaces with natural language. No scripting needed. Already 23K+ GitHub Stars.

Learn RAG fundamentals and build an enterprise knowledge base chatbot with Dify in 4 steps: data prep, model config, knowledge base import, and workflow orchestration.