Search for an agent is not search for a human
Search built for people leans on a human to disambiguate at the end. Search built for agents has to remove the ambiguity up front. How we made Search resolve, not just retrieve.
Tutorials
Stop Generating Nonsense Indian Mock Data. I Built a Better Way!
If you build apps for the Indian market, you've probably needed mock demographic data for testing, UI...
GPT-5.6 Sol's file deletion isn't a bug you patch. It's proof that filtering an agent's actions doesn't contain it. Here's why, and what actually does.
Last week an AI agent deleted almost every file in a developer's home directory. That part isn't even...
I Tested 300+ Models. Then I Killed the Benchmark.
I Tested 300+ Models. Then I Killed the Benchmark. Let It Break — part 1 Tags: #ai #llm...
"Hallucination" Is Three Different Bugs. We Keep Filing Them as One.
I had a model refactor part of a backtesting engine last month. Gave it function signatures, call...
I Wish I Ran the Numbers on Open Source AI APIs Sooner
I Wish I Ran the Numbers on Open Source AI APIs Sooner Three months ago I would have told you...
Stop Writing Boilerplate for MCP Servers — Focus on Building AI Tools Instead
If you've started experimenting with the Model Context Protocol (MCP), you've probably discovered...
AI Simplified — Why “Memory” Is Really Just Controlled Context
================================================== SERIES: AI Simplified TITLE: AI Simplified —...
Treat Per-Task Model Switching as a Concurrency Protocol
Use generations, compare-and-swap semantics, and idempotent request IDs so late model-switch completions cannot overwrite newer intent.
Your MCP server passes unit tests — and still breaks in Claude. Here's why.
If you've ever written an MCP (Model Context Protocol) server, you've probably lived this: every unit...
Keep Rejected Options in Your Agent Decision Log
Preserve why an agent chose one model or action, what it rejected, the evidence behind each option, and when the decision should be revisited.
The AI Got the Architecture Right. Then It Forgot to Use Its Own Prototype.
The AI Got the Architecture Right. Then It Forgot to Use Its Own Prototype. A case study...
GPT-5.6 MCP: Testing Servers With Sol, Terra & Luna
📖 TL;DR GPT-5.6 shipped July 9, 2026 in three tiers Sol (flagship), Terra (balanced), and Luna...
Measure Documentation Coverage for AI Agents With This Scorecard
Score whether an agent has enough problem, reproduction, expected-behavior, verification, and limitation evidence to work responsibly.
Turn a GitHub Issue Into an AI-Ready Bug Packet
Give a coding agent reproducible state, bounded evidence, acceptance checks, and explicit unknowns instead of a one-line bug report.
What If AI Was the Compiler? (An Imaginary Programming Language)
The Idea: A programming language compiled by AI. Imagine writing code like you're in a whiteboard...
Hello, RocheDB! A Nim Database Built Around Data Locality
Introducing RocheDB, a Nim database that uses application-level locality to reduce retrieval working sets.
My First Open-Source Robotics Project: AutoSweepCrowdNav
My First Open-Source Robotics Project: AutoSweepCrowdNav 🚀 Hi everyone! 👋 This is my first post on...
82% email: what a B2B enrichment API actually returns
We ran our own enrichment engine over 519 people and published the real find-rates, per field, with confidence scores. No customer data, no marketing gloss.
Vibe Engineering: Solving Small Cross-Cutting Concerns
This article was originally published on my blog. Vibe Engineering: Solving Small...
Stop Guessing JVM Bugs: Connect Claude Code to Spring Boot via Local MCP Actuator Servers
Stop Guessing JVM Bugs: Connect Claude Code to Spring Boot via Local MCP Actuator...
I filtered Bandit's false positives with a deterministic gate -- and published where it fails
Scanner noise isn't an annoyance. It's a mechanism: after enough files you stop reading the flags,...
Why Your AI Agent Needs an Audit Trail (And How to Build One)
The rapid shift from passive conversational chatbots to active operational agents has changed the...
Your AI agent shouldn't act on data it can't cite
Enrichment APIs hand your agent a value with no way to know if it's verified or guessed. Here's why every field needs a source and a confidence score.