LLM articles
511 articles about LLM, newest first.
- Claude Code: 10 Beginner Commands That Boost Your AI Coding Workflow — Learn the top 10 Claude Code commands for beginners, with simple explanations, analogies, and technical tips to supercharge your AI coding workflow.
- Top 10 Claude Commands Explained: Boost Your AI Workflow — Discover the top 10 Claude commands to automate coding tasks, boost productivity, and integrate AI seamlessly.
- How to Make Claude and Codex Talk in 1 Minute with Frenemy — Quick guide to linking Claude and ChatGPT using Frenemy, no API keys needed.
- Why AI Agents Need a Wallet: Paying for Micro‑services with USDC — Two AI agents tackle the same travel task — one with a funded USDC wallet can pay for data, send email, and make a call, while the other stalls without a payment method.
- How AI Phone Calls Work: Real-Time Voice Agents That Book Appointments — An AI voice handled a full sales call, switched languages, and booked an appointment in 40 seconds. Learn the tech behind it.
- Gemini 3.8 Flash: Google's Unexpected Agentic Coding Powerhouse — Gemini 3.8 Flash is Google's newest agentic coding model, delivering faster, cheaper, and more efficient code generation for developers.
- How to Ship Code Faster Than 99% of Developers Using AI Agents & Cursor — Learn the exact AI‑powered workflow that lets David Ondrej deploy code faster than 99% of developers—agents, Cursor, and CI/CD hacks explained.
- Claude 5 vs GPT 5.6 Sol vs Gemini 3.1: Which AI Agent Model Wins? — Comparing Claude 5, GPT 5.6 Sol, and Gemini 3.1 inside a Hermes agent for website, game, and price‑track tasks—speed, cost, reliability, and the best pick for serious agents.
- How AI Agents Can Legally Own Assets and Escape the Lethal Trifecta — Explore how JWT identity, DUNAs, and decision markets let AI agents form legal entities and bypass data, content, and action limits.
- OpenAI Says 99.8% of Code Is Now AI‑Generated: How Agentic AI Is Redefining Business — OpenAI reveals 99.8% of its code is AI‑written, explaining agent loops, MCP, and real‑world deployments that are reshaping enterprises.
- Why Manus AI Is the Next Frontier in Autonomous AI Agents — Discover how Manus AI can autonomously research competitors, generate reports, and build slides from a single prompt—plus how to grab free credits.
- Why AI Agents Need a Paycheck — And Why Enterprises Can’t Ignore Compliance — AI agents must pay for tools, but enterprises worry about compliance and billion-dollar fines. Learn how micropayments and identity protect business trust.
- Huawei’s Adaptive Harness: The New Boss for LLMs — Explore Huawei’s adaptive harness architecture and how it rivals Claude Code for long‑horizon AI agents.
- Graphify: Mapping Your Codebase for Smarter AI Agents — Discover Graphify, the open‑source tool that builds a queryable knowledge graph of any codebase, letting AI agents navigate code instantly without re‑reading files.
- How Hyperagent Lets Non‑Technical Founders Build AI Agents Without Coding — Discover how Michael Appell uses Hyperagent to automate sales, create mockups, and build reports — no coding required. See AI agents in action for real‑world business growth.
- Maia on Make: AI-Powered Automation Builder You Can Use Today — Discover how Make's new AI assistant Maia turns plain language into ready-to-run automations, boosting productivity for creators and developers.
- Google's SKILL.state Cuts AI Reasoning Tokens by 16× — Google introduces SKILL.state, a new agent architecture that replaces long transcripts with compact runtime state, slashing token use while boosting efficiency.
- Apple's Local AI Bet: How Mac Memory Tiers Control Your AI Agents — Apple reshapes its Mac line around on-device AI, linking RAM tiers to AI agent capacity and pitting local compute against cloud rentals.
- Turn AI Playtime into Real Smarts: Build a Payoff‑First Learning Loop — Learn how to use AI as a productivity accelerator, not a hobby. Focus on skills that deliver real payoff, avoid wasted effort, and build a learning loop that makes you sharper.
- Why AI‑Generated Videos Trick Our Brains (And How to Spot the Gaps) — A panel reveals that AI video preferences favor sharper, saturated outputs, but language struggles with subtle sensory details, leading to hidden reward hacks like wedding rings. Learn the technical limits and why they matter.
- Accelerate Agent Improvement with LangSmith Engine – AI Development Made Easy — LangSmith Engine automates bug detection, fix suggestions, automated testing, and regression monitoring for AI agents, boosting production reliability.
- Agent Infrastructure Half-Life Is Shrinking — Why Your Stack Must Adapt Fast — Ben Kus reveals that AI agent infrastructure now has a half-life of months, not years, and explains how teams should adapt their stacks accordingly.
- Boost Your Dev Speed with AI‑Generated HTML — Learn how AI can instantly generate HTML snippets, cutting repetitive coding and accelerating UI development.
- Agentic Sites: How Adobe Builds Hyper‑Personalized Webpages in Seconds — Adobe demonstrates Agentic Sites that assemble custom pages in under two seconds by stitching pre‑approved blocks, avoiding full‑model hallucinations while delivering audience‑of‑one experiences.
- Turn Claude Code Into Free Unlimited AI: OmniRoute Setup Guide — Learn how OmniRoute lets you route Claude Code through a local proxy, unlocking free token pools from OpenRouter, NVIDIA NIM, and more — bypassing subscription limits.
- 34 Free AI Models You Can Rotate Between: Switch Providers Seamlessly — A GitHub repo aggregates 34 free AI model endpoints, letting you rotate between providers automatically and avoid downtime when one runs out of credits.
- LLM Gateways Unlocked: Why ‘Something Went Wrong’ Hides Critical Tradeoffs — Discover how streaming LLMs forces hard choices on latency, cost, and reliability—and the precise patterns that keep your gateway alive.
- Top 10 GitHub AI Repos That’ll Change How You Build — Explore the week’s hottest GitHub AI repos — secure Claude plugins, image prompt libraries, local dev tools, and more — and see how they empower developers.
- Clay’s 300M‑Run Agent Stack: Eval‑First Scaling with LangSmith — Explore Clay’s 300M‑run agent pipeline, its eval philosophy, data‑lake architecture, and how LangSmith enables safe scaling.
- How Claude AI Can Grow Your Instagram to 70K Followers – Step‑by‑Step Guide — Discover the exact Claude‑driven workflow Nick Puru uses to turn a blank Instagram into a 70K‑follower account, with scripts, prompts, and automation tips.