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AI Development Hub

Guides for coding, LLMs, agentic browsers, and developer workflows.

GUIDES
64 guides • curated

CLAUDE.md In Practice: What Actually Earns A Place In The File

The most-starred CLAUDE.md on GitHub has four rules, not twelve, and the error rates everyone quotes for it were never measured. What the fi...

Open Models: What They Cannot Do

The benchmark gap has largely closed: open models now score within a point of the closed frontier on everyday coding. What still stops you i...

Hardware For Local AI Models: What The Memory Shortage Changed

Capacity decides whether a model runs. Bandwidth decides how fast it talks, and it is the number most buyers get wrong. What the five machin...

How To Run AI Models Locally: Hardware, Quantisation And Engines

Running a frontier open model locally is a memory problem before it is a speed problem, and a bandwidth problem before it is a compute one. ...

Uncensored AI Models: What Abliteration Actually Does To Them

Abliteration removes a model's ability to refuse by deleting one direction from its activations. It works, and it is not free: measured drop...

What is AI Coding? Complete Guide 2026

AI coding explained: how AI-powered IDEs and coding assistants work and transform software development. The technology behind tools like Cur...

How to Use AI Coding Tools: Complete Guide 2026

Using AI coding tools effectively: step-by-step guides for Cursor, Google Antigravity, GitHub Copilot, and other AI-powered development tool...

AI Coding Tools: Which Ones Actually Help Developers?

Best AI coding tools compared: Cursor, Google Antigravity, GitHub Copilot, Replit, and more. Features, pricing, use cases, and recommendatio...

How to Integrate AI Tools via API: Complete Guide 2026

Complete guide to integrating AI tools via API: authentication, endpoints, rate limits, error handling, and production workflows. Code examp...

Which LLMs Actually Deliver in 2026?

Comprehensive comparison of the best large language models in 2026 including ChatGPT, Claude, Gemini, Grok, DeepSeek, Llama, and more. Compa...

Large Language Models Explained: How They Actually Work

Complete guide to Large Language Models (LLMs). Learn how LLMs work, their architecture, training process, capabilities, limitations, and re...

Choosing the Right LLM: Decision Framework That Actually Works

Complete guide to choosing the right large language model for your needs. Compare ChatGPT, Claude, Gemini, and other LLMs based on use case,...

LLM Mastery: Practical Techniques That Get Results

Complete guide to using large language models effectively. Learn prompt engineering, API integration, best practices, and practical workflow...

Best LLM for Coding: The 2026 Agentic Revolution

The definitive guide to coding LLMs in 2026. Beyond simple autocomplete: we rank the best models for agentic coding, shadow workspaces, and ...

Open Source vs Proprietary LLMs: What Actually Matters

Complete comparison of open source and proprietary large language models. Compare Llama, DeepSeek, Mistral vs ChatGPT, Claude, Gemini. Under...

LLM API Integration: Complete Developer Guide

Complete guide to integrating large language model APIs. Learn authentication, request formatting, error handling, and best practices for Ch...

Best Free LLMs: What Actually Works Without Paying

Complete guide to the best free large language models in 2026. Compare free tiers, open-source options, and freemium models from ChatGPT, Cl...

Best LLM for Writing: The 2026 Editorial Standard

A professional guide to writing LLMs in 2026. We compare models for semantic SEO, long-form narrative, and creative style-matching, includin...

LLM Limitations: What They Can't Do (Yet)

Complete guide to large language model limitations. Understand what LLMs cannot do, their weaknesses, common failures, and realistic expecta...

LLM Pricing: Complete Cost Comparison 2026

Complete guide to LLM pricing in 2026. Compare costs for ChatGPT, Claude, Gemini, DeepSeek, and other large language models. Understand API ...

LLM Security & Privacy: What Businesses Need to Know

Complete guide to LLM security and privacy for businesses. Understand data handling, compliance, enterprise security features, and best prac...

LLM for Business: Complete Enterprise Guide 2026

Complete guide to using large language models in business. Learn about enterprise use cases, ROI, implementation strategies, and best practi...

Development-AI Prompts: Complete Guide for Coding Workflows

Complete guide to using AI prompts for software development. Learn how to use prompts for Git workflows, CI/CD setup, testing, debugging, AP...

Advanced LLM Workflow Prompts: RAG, Chain-of-Thought, and More

Complete guide to advanced LLM workflow prompts including RAG (Retrieval Augmented Generation), chain-of-thought reasoning, prompt engineeri...

Best AI Tools for Developers: Complete Guide 2026

Discover the best AI tools for developers: Cursor, GitHub Copilot, Google Antigravity, Replit, and more. Features, pricing, and workflow rec...

What is an Agentic Browser? Complete Guide 2026

Agentic browsers are AI-powered web browsers that autonomously perform tasks like research, booking, and form-filling. Learn how they work, ...

How to Use Agentic Browser Tools: Complete Guide 2026

Step-by-step guide to using agentic browsers: setting up tasks, writing effective commands, automating workflows, and best practices for aut...

Best Agentic Browser Tools 2026: Complete Comparison

Compare the best agentic browser tools: Perplexity Comet, ChatGPT Atlas, Opera Neon, and Microsoft Edge Copilot. Features, pricing, use case...

OpenAI Codex App vs. Cursor: Best Agentic IDE 2026

Compare OpenAI Codex and Cursor for agentic coding in 2026. Side-by-side breakdown of pricing, speed, context window, agentic features, and ...

Inference Engines Compared: llama.cpp, MLX, ExLlama, vLLM, SGLang, TensorRT-LLM

Inference engines are memory-bandwidth-bound schedulers, not just model loaders. Comparing llama.cpp, MLX/MLX-LM, ExLlamaV2/V3, vLLM, SGLang...

How An LLM Is Actually Built: The Five Stages Nobody Copies

The transformer is not the moat. A modern LLM is built in five stages: pretraining, data curation, scaling-law planning, post-training align...

Agent Tool Architecture And MCP: How Claude Code Turns A Model Into An Operator

A model cannot read a file on its own. Claude Code's tool system is four layers that bridge the gap: a common interface, a registry, a seven...

Getting More Out Of A Coding Agent: The Seven-Layer Setup

A coding agent is weak when it only gets a one-line prompt. The users who get the most out of it build seven layers around the model: projec...

AI Agent Cost Control: How to Stop Runaway Spending

One in five enterprises say they cannot stop a runaway AI agent in real time. The median enterprise now runs three orchestration platforms a...

Agent Swarms and Research Agents: What Kimi Swarm and Stanford STORM Actually Change

Kimi Swarm can run 300 parallel agents from one prompt. Stanford STORM builds research articles from five perspectives in five minutes. Here...

How to Deploy an AI Agent in a Team Channel Without Making It Annoying

Anthropic's Claude Tag can now read full Slack conversations and decide when to jump in unprompted. Channel agents are different from chatbo...

How to Run an AI Agent Locally With Zero Token Costs

Perplexity and Nvidia just shipped a version of Perplexity's Computer agent that runs locally by default. The model, your files, and the wor...

Agent Skills Explained: When Claude, Cursor, and Codex Actually Use Them

Agent skills are reusable SKILL.md files that Claude, Cursor, and Codex load automatically. Learn when skills help, how to write trigger lin...

AI Agent Architecture Patterns: Building Reliable Autonomous Systems

From simple tool-calling agents to complex multi-agent orchestrations, this guide covers the patterns that separate hobby agents from produc...

Scope Control: Keeping A Coding Agent's Diffs Small

A coding agent left to its own judgment optimizes for complete and correct, not for a small diff. A one-line fix becomes a two-hundred-line ...

Giving A Coding Agent Real Design References

Ask a coding agent for a UI with no reference and it defaults to the same rounded cards, the same gradient buttons, the same safe spacing th...

Gemini 3.8 Live: What Google’s New Voice Agent Models Actually Do

Google shipped Gemini 3.8 Live and a slower, more accurate Extended Thinking variant on September 15, 2026, priced per minute of audio rathe...

Google Home Now Has an MCP Server: What Your AI Agent Can Actually Do With It

Google opened early access to a Model Context Protocol server for Google Home on September 16, 2026, so agents like Claude and ChatGPT can c...

Base Labs, Hugging Face and Goodfire Are Building a Safety Standard for Open-Weight Models

Base Labs, the safety research arm spun out of Baseten, partnered with Hugging Face and Goodfire on September 17, 2026 to build safety evalu...

Claude Opus 5 and Gemini Just Hacked Real Companies. Here Is What Actually Happened

In September 2026, a three person team used Claude Opus 5 to breach OpenAI internal systems within hours of the model shipping, and Google d...

Why Harvey Ditched OpenAI and Anthropic for an Open Model

Legal AI startup Harvey watched its gross margins collapse from 50% to negative 50% as enterprise LLM pricing rose 20x on rising token usage...

Claude Opus 5.5 and GPT-6 Sol/Luna: The First Releases After the AI Slowdown Pledge Are Just Cheaper

On September 22, 2026, Anthropic and OpenAI both shipped their first models since publicly pledging to slow down frontier AI development on ...

OpenAI's Agents Keep Breaking Out. Here Is What Actually Happened, and Why

In September 2026, OpenAI confirmed an internal agent breached an Australian government Medicare portal, a researcher showed OpenAI agents h...

Meta Muse, Explained: What the Personal AI Agent Actually Does, Costs and Asks For

Muse is Meta's personal AI agent, launched in the US on September 8, 2026. It reads your email and calendar, fills forms and makes purchases...

Microsoft Copilot Autopilot vs Claude: The Always-On Work Agent, Explained

On September 25, 2026, Microsoft rebuilt Copilot around Home, Code and Autopilot, a persistent agent with its own identity that keeps workin...

Claude Sonnet 5.5 vs Opus 5.5: Is the Cheaper Model Now Good Enough?

Anthropic released Claude Sonnet 5.5 on September 28, 2026 at the same $2/$10 per million tokens as Sonnet 5, half the price of Opus 5.5. In...

Gemini 4 Argon, Explained: Google's Frontier Model You Can't Use Yet

On September 30, 2026, Google announced Gemini 4 Argon, the first model of the Gemini 4 series, claiming frontier performance in software en...

Apple Is Tightening Full Disk Access Because of AI Agents. What Changes, and What to Check Now

On October 2, 2026, Apple said it will add new controls to the macOS Full Disk Access setting so that granting it takes very explicit user a...

ChatGPT Now Watermarks Its Text in the EU. Who It Affects, How It Works, and What It Cannot Prove

On October 5, 2026, OpenAI said it will add an invisible watermark to eligible ChatGPT and Codex text for users in the EU, to meet the EU AI...

Mistral Large 4, Explained: Where Europe's 1-Trillion-Parameter Model Leads, and Where It Trails

On October 6, 2026, Mistral released Mistral Large 4 in public preview: a 1-trillion-parameter multimodal model at $1.36 and $4.18 per milli...

Claude Haiku 5.5 vs GPT-6 Luna: The Price Is the Same Now. Here Is What Differs

On October 7, 2026, Anthropic released Claude Haiku 5.5 at $0.10 per million input tokens and $0.50 output, 90% below Haiku 4.5 and the same...

Google's Gemini Agent for Work, Explained: What It Does, Who Gets It, and the Controls That Matter

On October 8, 2026, Google Cloud announced the Gemini agent: one agent for chat, long-running tasks and code, working across Workspace, Micr...

A Claude Agent Sent Police a False Murder Tip During a Test. What Happened, and How to Keep Your Agents From Doing It

On October 9, 2026, Anthropic published a report on unintended actions by its models: on July 18, Claude Haiku 4.5 had submitted a tip about...

Meta Muse Wonder, Explained: What It Scores, What It Costs, and Why the Best Version Is Not on the API

On October 12, 2026, Meta released Muse Wonder and Muse Wonder Full, its first models built to compete at the frontier. Wonder is on the Met...

Linus Torvalds Used Claude Code on the Linux Kernel: What He Built, What It Proves, and the Rules for Everyone Else

In October 2026, Linus Torvalds published an experimental eight-patch Linux branch whose code, tests and first draft description were writte...

How to Test an AI Agent Against Prompt Injection

A practical test plan for agents that read documents, browse websites or use tools. Check unauthorized actions, useful task completion and p...

How to Check Whether an AI Demo Is a Working Build

Check the original project, the input-to-output workflow, the role of AI and the limits of the demonstration. A practical guide to separatin...

Your Coding Agent Held Your API Keys. What to Do When That Tool Is Breached

The OpenCode Console exposure, read as a checklist: revoke and reissue keys from the provider, check usage, cap spend, and decide where a co...

A Cheap Model With a 93% Hallucination Rate: How to Read That Number Before You Switch

MiniMax M3.1 Flash got more questions right than its rivals and still scored a 93% hallucination rate. What the number means, why accuracy d...