AI articles and tutorials
In-depth explainers and tutorials on LLMs, AI agents, tools and the latest model releases.
- Recursive Model Improvement: How Cursor Trains Its Own AI — Lee Robinson reveals a two‑loop framework that lets AI tools self‑improve, from user feedback to agent‑driven research.
- 9 AI Tools That Stop Fake Amazon Products, Auto‑Create Apps & Turn Desktop Actions Into Memory — Discover nine cutting‑edge AI tools that hide knockoffs, boost dictation, generate apps from search, and automate desktop workflows.
- Multi-Agent Desktop Control: How cua Driver Lets AI Agents Click, Type, and Scroll Simultaneously — Three AI agents can control separate apps at once via OS accessibility APIs, boosting efficiency and reducing token use. Discover the tech behind cua driver and its benchmark results.
- How AI Coding Agents Are Redefining Software Development — AI agents like Claude Code shift developers from writing code to steering smart agents that draft, review, and automate PRs, with safety built‑in.
- 5 Free AI Tools Beginners Must Try in 2026 – Simple Guide — Discover five free AI tools for writing, research, design, and automation that beginners can start using today.
- How 11X Built a Slack-Native Bug Triage Agent with LangSmith Fleet — Jeson Patel explains how 11X turned a personal bug‑triage script into a Slack‑native AI agent using LangSmith Fleet, enabling anyone to build agents without infrastructure work.
- Will AI Agents Amplify Our Biases? A Quick Guide — Explore how AI agents could magnify societal biases and what it means for developers and users.
- Build a Full Website in Minutes with OpenAI’s Codex – No Code Required — Learn how OpenAI’s Codex can generate a complete, responsive website and deploy it instantly on Hostinger — no coding needed.
- Why GLM 5.2 Is Undermining Claude and OpenAI Despite Being Free — GLM 5.2 matches Claude on quality, is free, yet big AI firms keep growing revenue as engineers stay locked in.
- OpenAI's GPT-5.6 Sol Hits 750 Tokens Per Second – Can It Stay Profitable? — OpenAI's GPT-5.6 Sol runs at 750 tokens per second on Cerebras hardware. Explore the speed, cost, and profit challenges behind the new AI milestone.
- Why Skipping Evals for AI Agent Skills Is a Bad Idea — Learn how to design reliable AI agent skills and build a lightweight eval harness to catch failures before users see them.
- Why Context Is the Secret Sauce for Production AI Agents — Learn how a versioned context layer gives AI agents the business knowledge they need to survive beyond demo stage.
- Forward-Deployed Engineering at Cursor: How AI Teams Build Inside Your Company — Learn how Cursor's forward-deployed engineers customize AI tools on site to accelerate enterprise adoption.
- The Next Evolution of AI: From Prediction to Self‑Organizing Cognition — Explore how new AI research shifts from simple prediction to self‑organizing cognition, using evidence graphs and long‑horizon reasoning.
- How Claude 5’s Fable 5 Can Run Your Entire Business – 5 Real Use Cases — Discover how Fable 5 uses Claude 5 to automate tasks, self‑check its work, and integrate with tools like Wispr Flow and Mem0 for memory.
- 5 Secret Claude Hacks You Need to Master AI Automation — Discover five hidden Claude features that boost productivity and cut coding time.
- Claude Fable 5: The Real Breakthrough That Changes How You Work — Claude Fable 5 expands context capacity to 128K tokens, letting you feed longer inputs in a single prompt. Free access ends soon — test it now before it moves to paid credits.
- Rippling AI Lessons: Flat Agents, SQL Tools, and Eval‑Driven Development — Learn how Rippling built a natural‑language HR assistant using flat agents, LLM‑generated SQL, and statistical evals to ship reliable AI features.
- Build AI Memory by Talking: The Stack That Keeps Agents on Target — Learn how to create an AI memory stack through conversation, why alignment matters, and the technical steps to implement it.
- LangChain’s Dual Engineering Approaches: Fast Coding Agents vs Structured Agent Cycles — Explore how LangChain’s product team ships AI features quickly with coding agents, while its applied team tests hypotheses weekly — revealing two distinct workflows for AI development.
- 48‑Hour Robotics Hackathon: From T‑Shirt Folding to Lego Sorting Factories — Discover how a 48‑hour AI robotics hackathon turned beginners into creators, showcasing wild builds like shirt‑folding bots and Lego sorters using LeRobot.
- One API, 27 ML Tasks: The Simple Contract That Powers Multiple Models — Discover how a single API can handle 27 ML tasks using a straightforward input/output contract, explained with analogies and technical details.
- Run AI Locally: Hands-On Guide to llama.cpp, GGUF Models & Open Harnesses — Learn how to run open-source LLMs on your own hardware using llama.cpp, GGUF quantization, and live Q&A from HuggingFace's open-source livestream.
- How LLMs Actually Generate Text: The Step-by-Step Loop Behind AI Chat — Discover the inner loop that powers LLM text generation, from token prediction to sampling, and see how Transformers.js brings it to life in the browser.
- Why AI Agents Need Proof Before They Act — Erik Meijer’s Safety Blueprint — Erik Meijer explains how formal verification can stop AI agents from causing real‑world disasters.
- How Last30Days Lets LLMs Tap Into Fresh Social Data Without Getting Blocked — Discover how the open‑source Last30Days tool gives AI agents real‑time access to X, Reddit, TikTok and more, bypassing platform blocks and outdated search results.
- Tailscale Explained: The Easy Way to Network Your AI Agents — Learn how Tailscale creates a zero‑config mesh network so AI agents can communicate securely across any environment—no VPN headaches.
- GLM 5.2 vs Claude: The New AI Subscription Swap Explained — Discover how GLM 5.2 offers a cheaper, high‑performance alternative to Claude AI subscriptions, reshaping AI accessibility for developers.
- How to Choose the Right AI Model for Your Workflow (Not Just the Highest Score) — Learn how to pick an AI model that fits your workflow, not just its benchmark score. Discover practical steps, model families, and real‑world impact.
- AI Coding Agents Tier List: Who’s Winning the Automation Race? — Explore our tier list of AI coding agents, see how they work under the hood, and learn why they’re reshaping software development.