Why Your Gemini Bill Doesn't Match the Model Names
Why Your Gemini Bill Doesn't Match the Model Names tl;dr - Across roughly 3,300 paired skill-eval runs, Gemini 3.5 Flash cost $1.05 per task against G…
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Claude Fable 5 vs Opus 4.8: The Mythos Hype Meets Reality
For months, the most interesting model at Anthropic was one we could not use. Mythos was the internal system the company said was too capable to relea…
AI Coding Agent Accuracy: Opus 4.7 vs 4.8
You are deciding whether to roll your default agent model from Opus 4.7 to 4.8. The release notes promise improvements, the leaderboard moves a fracti…
What AI Agent Platforms Are Available? How to Transition into an Agent Engineer?
What AI Agent platforms are available? There are two major categories: Workflow platforms (Dify — most open-source friendly; Coze — easiest to get sta…
From Chatbots to Personal AI Agents: The Infrastructure Developers Actually Need
title: Your AI Agent Should Not Be Locked to One LLM Provider published: false description: Why serious AI agents need a provider-agnostic architectur…
Why We're Changing Our Default Eval Model
We're changing the default solver model in our eval harness from Claude Sonnet 4.6 to GLM 5.1. This is the default we provide to everyone running eval…
The Best Claude Setup (That Works on Any AI Tool)
Here is a confession that might sound odd in a guide about setting up Claude Code: the goal is not to marry Claude Code. The goal is to build a setup …
Agent-Safe Angular Components: Copy-Paste MCP + Skills Setup for Verified AI Development
Angular v22 MCP + Skills Integration: Agentic Development Setup With Angular v22, the MCP (Model Context Protocol) server + Angular Skills stack trans…
The #1 Developer Skill in the Agentic Era
At first, many dismissed AI as a temporary bubble, but now that engineering organizations are adopting agentic workflows at scale, it is much harder t…
Harness: Turn a One-Line Prompt Into a Full Agent Team for Claude Code
You have Claude Code. You want to build something ambitious — a deep research pipeline, a full-stack app scaffold, a code review system. You could wir…
Designing an Open-Source Toolkit for AI Agent Resources
I’ve been working on Agentique, a free and open-source project for sharing, packaging, and validating AI agent resources. The problem I kept running i…
Moving Beyond the Context Window: The Agentic Memory Architecture
I’ve spent a lot of time lately thinking about why some LLM agents feel "intelligent" while others just feel like chatbots with a slightly better prom…
Compound Engineering: A Plugin That Makes Your AI Coding Agent Smarter Over Time
Most developers using AI coding tools hit the same ceiling eventually. The agent writes code, you accept or reject it, and next time it starts from sc…
BoxAgnts Introduction (6) — Agent Multi-Turn Conversation and Tool/Skill Invocation
If you've only chatted with ChatGPT, you might think an AI Agent is simply "send a prompt to the API, display the response." The reality is far more c…
# agents.md: Teaching AI Agents How to Scrape (The Future of Web Automation)
You're building a Scrapy scraper. You ask Claude Code for help. "Add pagination to my spider." Claude reads your code. It sees scraper.py, settings.py…
AI Music Doesn’t Need Better Prompts — It Needs Better Systems
For the past year, most AI music products have competed on the same thing: “Type a prompt. Generate a song.” And at first, that felt magical. You coul…
The git Commands You Forgot Exist (And Why AI Workflows Make Them Relevant Again)
Most devs know git commit , git push , git stash . Then there's a whole floor below that nobody visits. Try it yourself: clone git-archaeology-lab , r…
Understand Anything: Turn Any Codebase Into an Interactive Knowledge Graph
You join a new team. The codebase has 200,000 lines of code, no docs worth reading, and the one engineer who knew everything just left. Where do you s…
The Most Important AI Skill Isn't Technical
The Most Important AI Skill Isn't Technical Since the dawn of coding there have been 10X developers, who accomplish much more than their peers. There …
Agentic Analytics: Architecture, Context, and Why the Semantic Layer Does the Heavy Lifting
An agentic analytics system is one where LLM-powered agents autonomously break a data question into sub-tasks, retrieve relevant context, execute quer…
Six Principles in Practice: How an Agentic E2E Found 11 Production Bugs in 8 Runs
Eight runs, eleven bugs I ran my E2E testing system on a production ecommerce platform eight times in a row – across five different business modules, …
CodeGraph: Stop Your AI Agent From Grepping the Same Files 50 Times
When Claude Code explores a codebase it does not know, it spawns Explore agents that scan files with grep , glob , and Read . Every one of those calls…
Superpowers: Giving Your Coding Agent a Workflow It Can't Skip
If you have used Claude Code, Cursor, or Codex for real work, you know the pattern. You ask for a feature, and the agent immediately starts writing co…
The Missing Engineering Stack for Production AI Agents
The "build an agent in 5 minutes" tutorials get you to a demo. They don't get you to production. Here's the field guide for the four primitives that d…
Claude Code is the engine, Cursor is the cockpit
My daily workflow looks nothing like it did a year ago. A lot has landed in Claude Code recently. Skills replaced custom slash commands, subagents and…
Maintaining an Agent-Searchable Profile: Public Impressions, Semantic Tags, and Real-Time Refresh
AI agents are becoming a new interface not only for finding people, but also for maintaining the profile that other agents search. Instead of opening …
pst — secure paste for agents
Ever want to connect an agent to an API that doesn't support MCP and run into broken shell-scripting UX? Or the agent just tells you to paste your sec…
Modernizing Legacy Systems Using Agent Harnesses TDD and the Seam Model
Over the past few months, I’ve been investing a lot of time building agentic development workflows for real production environments. Not only prompts.…
Production-Grade Engineering Skills for AI Coding Agents
AI coding agents have revolutionized how we write software. They can implement features, fix bugs, and review code at incredible speed. But there's a …
Skill-Based Sub-Agents with LangGraph4j and Spring AI
Combine Tools & Skill to create Agent Modern agentic systems usually expose two strong but separate abstractions: Tools , which give an LLM execut…