Insights for AI builders
Tutorials, product updates, and ideas to help you build and ship AI applications faster.
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How to Automate Your Business Workflow Using Claude Code
A step-by-step method for auditing your work, building evals, and turning repeatable tasks into automated Claude Code skills.
Gemini 4 Argon for Game Dev and 3D Coding: What Testers Found
Gemini 4 Argon tested on vibe-coded games, 3D worlds, and Excel clones versus Opus, Astra, and Muse Wonder. Here's how it actually performs.
Gemini 4 Argon: What's New in Google's Flagship Model
Gemini 4 Argon brings a 1M-token output ceiling, top coding benchmarks, and agentic tasks. Here's what changed in Google's new flagship model.
Gemini 4 Argon: Pricing, Access, and Where It Actually Ships
Gemini 4 Argon's intro API pricing, where it rolls out across Google's apps, and how it stacks up against Opus 5.5 and GPT-6.1 Sol.
Gemini 4 Argon vs GPT 6.1 and Claude Opus 5.5: Who Wins the Benchmarks?
Gemini 4 Argon takes on GPT 6.1, Claude Opus 5.5, and Muse Wonder across Deep Sweep, Terminal Bench, and Artificial Analysis scores.
What Is KV Cache? Why It Makes AI Coding Agents Dramatically Faster
KV cache explained: how key-value caching stops LLMs rereading old prompts, and why the speedup multiplies as agent conversations grow longer.
LFM2.5-24B-A2B Benchmarks: How It Beats Bigger MoE Models
LFM2.5-24B-A2B edges out larger MoE rivals on agentic and tool-use benchmarks while using far fewer active parameters per token.
How to Run LFM2.5-24B-A2B Locally for On-Device Agents
A practical guide to running Liquid AI's LFM2.5-24B-A2B mixture-of-experts model locally via Transformers, llama.cpp, MLX, and vLLM.
LMCache vs vLLM Caching: What Actually Speeds Up Coding Agents?
LMCache and vLLM's built-in KV caching both cut agent latency, but they solve different problems. Here's when each one actually matters.
MiniCPM-V 4.7 1B Tested: Can a Tiny Vision Model Actually Read?
Hands-on tests of MiniCPM-V 4.7 1B on clocks, OCR, handwriting, math, and coding reveal where this tiny vision model holds up and where it breaks.
Run MiniCPM-V 4.7 1B Locally: Ollama and llama.cpp Setup Guide
Install OpenBMB's MiniCPM-V 4.7 1B vision model locally with Ollama or llama.cpp. See VRAM usage, setup commands, and real test results.
Muse Wonder Full vs Standard Wonder: What KingBench 4 Actually Found
Meta's Muse Wonder Full tested against standard Wonder on six coding builds via KingBench 4, with scores, failures, and fixes checked.
Muse Wonder Full Pricing: What You Actually Pay to Use It
Muse Wonder Full costs $50 or $200 a month through Meta's subscription tiers, with no published pay-as-you-go API rate yet.
OpenAI's 700 Math Papers: What Narrow Superintelligence Really Means
OpenAI's unreleased model wrote 700+ math papers from single prompts. Here's why that breakthrough hasn't transferred to coding or business judgment.
Reverse Engineer Anything: The GitHub Repo That Clones App Features With AI
How the viral Reverse Engineer Anything (REA) repo uses a five-stage framework to help AI agents decompile and rebuild app features.
Is a Major AI Breach Inevitable? What Lab Leaders Are Saying
AI executives at OpenAI and Anthropic increasingly describe a catastrophic AI breach as likely, not hypothetical. Here's why containment is slipping.
Budget AI Rig Cost: A Local LLM Server Parts Breakdown Under $800
Full parts and pricing for a sub-$800 local AI server: Xeon CPU, 64GB RAM, and one RTX 3060 12GB, with real token speeds tested.
Build an AI Board of Advisors in Claude Code With a Free Skill
How the free "Roast Room" Claude Code skill simulates a debate among AI personas like Bezos and Buffett to help you make decisions.
Firecrawl Alexandria: Free Data Access for AI Coding Agents
Firecrawl's Alexandria library gives coding agents access to over 100 data providers via MCP, with free monthly credits to get started.
GPT-6.1 Astra: Why Sam Altman Delayed It Over Accident Risk
Sam Altman says OpenAI held back GPT-6.1 Astra because it leaned too far toward accident risk, not misalignment. Here's what that means.
Intent Engineering: The Coding Skill AI Agents Still Can't Replace
As AI coding agents improve, intent engineering, not prompt tricks, is becoming the skill that determines whether their output is actually useful.
How Meta Rebuilt Its AI Lab to Challenge OpenAI and Google
Meta went from the Llama 4 benchmark scandal to six frontier model releases in six months. Here's how Alexander Wang's lab pulled it off.
Meta Muse Wonder Explained: Active Memory, Active Focus, and the Hype
Meta's Muse Wonder and Muse Wonder Full explained: what active memory and active focus do, how benchmarks stack up, and where it falls short.
MiniCPM-V 4.7 vs Qwen 3.6: Who Wins Which Benchmarks?
MiniCPM-V 4.7's benchmark results against Qwen 3.6 and Gemma, showing where the Apache 2.0 vision MoE model wins, ties, and falls short.