4 min read
Bringing an AI Agent Into Your Actual Dev Workflow
Setting up an agent is the easy part. Here's how I actually use one day-to-day inside a real project — planning, reviewing, and keeping it from making a mess.
AI
4 min read
Congrats, You Learned to Code Right Before the Robots Did Too: A Job Hunter's Survival Guide
You spent years grinding LeetCode. ChatGPT spent three seconds. Here's a mostly-serious, mostly-funny look at why job hunting in the post-AI era feels like showing up to a gunfight with a butter knife.
Job Hunting
4 min read
A2A vs MCP: Two Different Answers to 'How Should AI Agents Talk?'
Model Context Protocol and Agent2Agent solve related but distinct problems in the AI agent stack. Here's how they differ, and when you actually need each one.
AI
3 min read
Why I Stopped Betting on One Model Provider
Building around a single model felt simpler for a while. It also meant every outage, price change, or deprecation was entirely someone else's decision to make for me.
AI
3 min read
Claude 5: What Actually Changed, and Why It Matters for Developers
Anthropic's newest model family brings real gains in coding and long-horizon agentic work. Here's what's different, and how I'm actually using it.
AI
3 min read
A New Model Shipped and Your Prompts Broke. Now What?
Upgrading to a newer model is rarely a free win. If your prompts and evals aren't versioned, you won't notice what quietly changed until a user does.
AI
3 min read
How I Actually Pick Which Model to Use
With a new model shipping from someone every few weeks, picking one for a task has become its own small skill. Here's the checklist I actually use.
AI
4 min read
How to Use the Claude AI Agent: From Setup to Other Platforms
A practical walkthrough of generating a Claude agent, running it locally, and wiring it into platforms beyond the terminal.
AI
3 min read
Agentic AI: Separating What Works Today From the Hype
'Agent' gets attached to every product announcement now. Most of what's actually reliable today is narrower than the pitch decks suggest.
AI
3 min read
Open-Source Models Don't Need to Win, Just Be Good Enough
The debate about whether open models can 'catch up' to the frontier misses why most teams reach for them in the first place.
AI
2 min read
Model Pricing Isn't Just a Cost Line — It Changes What You Build
As per-token costs drop, the interesting shift isn't cheaper bills. It's that entire product ideas that didn't pencil out a year ago suddenly do.
AI
3 min read
Reasoning Models Aren't Always the Right Tool
Slower, 'thinking' models get used by default for everything now. A lot of the time, that's wasted latency for no real gain.
AI
3 min read
Prompt Engineering Is Just Engineering
The people who get the best results from AI models aren't using secret incantations. They're applying the same rigor they'd apply to any other spec.
AI
3 min read
Your AI Coding Assistant Is a Pair Programmer, Not an Autopilot
The framing that gets people the most value out of Claude or GPT-based coding tools isn't 'autocomplete' or 'autonomous developer' — it's pair programming.
AI
2 min read
The Context Window Arms Race Isn't the Point
Every release brags about a bigger context window. A bigger window doesn't fix the actual problem most people have with long conversations.
AI
2 min read
Stop Chasing Benchmark Leaderboards
Every new model release comes with a chart showing it beating the last one. Here's why that chart shouldn't drive your tooling decisions.
AI
3 min read
Why Job Boards Are Broken, and How AI Agents Can Actually Fix Matching
Keyword search was never going to solve hiring. Here's how AI agents can genuinely match developers to roles that fit them — and why I'm building a company around it.
Job Hunting