SpaceX Acquires Cursor Maker Anysphere to Build an AI Coding Agent Model
SpaceX's acquisition of Anysphere, the maker of Cursor, signals a major shift in how we build software. Coding agents started as simple helper panels …
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Beyond the Agentic Loop, in TypeScript: building a shopping agent with the Orchestrator pattern
This post is a TypeScript implementation of the pattern described in "Beyond the Agentic Loop: The Orchestrator Pattern for Multi-Agent Systems" by Am…
I'm building CortexDB — an agent-native context database for AI agents
I'm building CortexDB — an agent-native context database for AI agents Most modern RAG systems work like this: Split documents into chunks Generate em…
Why AI coding agents need a launch layer
The coding got 10x faster. The launching didn't. Point a coding agent at a half-formed idea and it will hand you a working app before your coffee is c…
Common Pitfalls Building Email Agents (and Fixes)
A team ships their first email agent on a Thursday. Demo went great, handler's deployed, webhook's registered. Friday morning the on-call wakes up to …
Building AI agents with LangChain
LangChain agents are built on LangGraph : the model calls tools in a loop until it returns a final answer. The high-level entry point is createAgent -…
The HTTP Code Your AI Agent Doesn't Handle Yet: 402
Your fetch agent knows two endings to a request. 200 : parse it. 403 : back off, rotate, or skip. That branch has been the whole game for years. There…
Base MCP: The Secure Gateway That Turns Your AI Agent into a Real Onchain Actor
Base just shipped Base MCP — a major step toward the agentic economy. It connects your Base Account directly to AI interfaces (Claude, ChatGPT, Cursor…
The LLM Is Not the Final Authority: Building Trust Infrastructure for AI Agents
The Problem Nobody Wants to Say Out Loud Most LLM agent deployments have a quiet assumption baked into their architecture: the model will behave. Not …
AI agents hallucinate. Here is how to cryptographically notarize their output for $0.01
We have a growing problem in the autonomous AI agent space: Garbage in, garbage out, and no proof of when it happened. When your AI agent generates so…
Phone AI Agent vs AI Agent Phone — Why Word Order Changes Everything (2026)
OpenAI announced an AI agent phone in April 2026. Qualcomm and MediaTek are building the silicon. The target is 300-400 million annual shipments. It s…
Building an autonomous Slack agent with OpenCode
Pipa , my operations agent running on OpenCode and living in Slack, came from a boring problem. The more I trusted coding agents with non-coding work,…
Working With AI: What Actually Works For Me
I think a lot of people still imagine AI coding as opening ChatGPT, asking for code, and copy-pasting the result. That's not really how I work anymore…
My AI agents spend 10 minutes every night rewriting their own memory.
Every morning for three months, I re-explained myself to my coding agents. The same preferences. The same project structure. The same "no, we already …
AI Workflows vs AI Agent Coordination: Why You Need Both
Workflows define WHAT agents do. Coordination ensures they don't break each other while doing it. Most teams invest heavily in the first and forget th…
Why multi-agent orchestration is harder than it looks
One AI agent answering a question is useful. Five agents that divide a complex task, pass state to each other, and act on live enterprise systems is a…
Better Models Won't Fix AI Companions
I ran two small tests on AI companion behavior because I wanted to understand a question people keep circling around: Are AI companions bad because th…
The Agent Skills I Use for Development
There are already many posts about what agent skills are and how to create your own, so in this post I want to dive into the various skills I use to a…
where the copilot credits went
A couple weeks ago I introduced gh-aw-fleet and ended on a confession: I went in solving a drift-tracking problem and walked out with a FinOps one. Th…
Put Your Agent Evals in CI or Stop Calling Them Evals
Most teams I talk to have "evals." I ask them where the evals run. The answer is almost always the same: a notebook, a dashboard, a spreadsheet someon…
Google's Open Knowledge Format is just Markdown in folders (and that's the point)
Last week Google Cloud published the Open Knowledge Format (OKF). It is a way to write down what a team knows so that AI agents can read it. Strip the…
Your Spec Files Are Lying to You. Mine Were Too.
Preface I want to be upfront about something before we get into it. None of the frameworks in this article is mine. The ideas here come from two peopl…
The Human Is No Longer the Developer
I don't write much code anymore. Well, almost none. I've been building software for 25 years. Payment systems, document pipelines, bank software, high…
AGTP: A Home for Your Agents
You have built agents. They are in production. Some of them are doing important work. You are mostly sure of that. What you are less sure of: how many…
Top AI Agent Standards to Know in 2026
Protocols tell agents how to connect. Standards tell them what to know. As the agent ecosystem matures, a second layer of convergence is emerging: ope…
Giving an AI agent live prediction-market data with an MCP server
If you are building an AI agent, the hardest part is rarely the model. It is getting the model trustworthy, current data at the moment it needs to act…
What I Learned Building an Autonomous Deal-Hunting Agent System
Over the past week I built a multi-agent AI system that autonomously scans the internet for bargains, estimates the true value of products using three…
Your AI Coding Agent Needs Scar Tissue
The most expensive AI mistake is not when your coding agent gets something wrong. It is when it gets the same thing wrong again tomorrow. That is the …
Loop Engineering: The Next Step After Prompt Engineering for AI Agents
Loop Engineering: The Next Step After Prompt Engineering for AI Agents The AI development landscape has undergone a fundamental shift. For years, prom…
NVIDIA Blackwell Leads AgentPerf, the First Agentic-AI Infra Benchmark: Trajectory-Replay Benchmarking
What: The AgentPerf benchmark from Artificial Analysis is the first test built for agentic-AI infrastructure : instead of timing one chat completion, …