The Problem Every trending AI project is giving agents more autonomy—running shell commands, browsing the web, calling APIs, moving money, even performing pene...

OAuth Token Vault Patterns for AI Agents AI agents that access third‑party APIs on behalf of users GitHub, Slack, Google Calendar face a hard security problem:...

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The Problem Every autonomous agent framework has the same silent failure: memory decay. Your agent works great on day 1. By week 3, it’s confidently using stal...

Introduction I’ve started writing an open book on the architecture of secure AI agents. The goal is to build a practical engineering reference — not a collecti...

Memory‑First AI Agents The biggest limitation of most AI setups isn’t intelligence — it’s memory. You can have the most powerful model in the world, but if it...

Overview InformationWeek recently published “A Practical Guide to Controlling AI Agent Costs Before They Spiral”https://www.informationweek.com/ai-or-machine-l...

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Why File Inputs Go Sideways for LLM Agents File input seems straightforward. It's just a file, right? For a human, yes. For an AI agent powered by a large lang...

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The Exploration Tax In a multi‑agent workflow, every agent pays an exploration tax at the start of each session. Before it can do anything useful, it has to or...

The Core Problem Most agent frameworks treat memory as an afterthought. They give your agent tools, prompts, and orchestration patterns — but when you restart...

Overview What if you could let Claude and Codex work together as pair programmers, talking to each other directly? One acts as the main worker while the other...

Introduction If you've ever tried to compare LLM pricing across vendors you know how painful it is. One charges per token, another per character, another per r...

Everyone talks about AI agents. Few discuss what happens when you run 10, 50, or 100 of them simultaneously. After building and operating a multi‑agent system i...

AI agents call git constantly—status, diff, log, show. I pulled data from 3,156 real coding sessions and git accounted for roughly 459 000 tokens of output, abo...

Most AI agent systems fail within 48 hours of going live. Not because the code is bad, but because nobody thought about what happens when an agent times out at...

The Problem A Claude Desktop agent that calls an external API is trusting that API implicitly. There's no verification, no trust score, no audit trail of what...

New Claude Feature: Computer Use Anthropic is testing a new Claude feature that lets users send a request from their phone and have the AI carry it out directl...

Introduction I'm starting a “Crawl, walk, run” series of posts on various topics and decided to begin with Retrieval‑Augmented Generation RAG. In this phase we...

Prompt A prompt is your instruction to the LLM—the text you write before you press send. Because the LLM doesn’t “understand” you the way a person would, it pa...

Getting AI agents to perform reliably in production — not just in demos — is turning out to be harder than enterprises anticipated. Fragmented data, unclear wor...

Safety Measures Anthropic says it has safeguards in place to prevent common risks like prompt injection, and it will limit access to certain “off limits” apps...

CVE‑2026‑25253 — A Wake‑Up Call for Autonomous AI Agents Score: 8.8 CVSS Impact: Any website could steal your OpenClaw auth token and achieve remote code execu...

Your agent isn’t broken. Your SOUL.md is. I’ve deployed dozens of AI agents—WhatsApp bots, Telegram assistants, Discord helpers—you name it. For months I kept...

Why Most Agents Fail It’s Not the Model Teams often blame: - weak models - bad tools - missing memory In practice, 70 % of agent failures come from poor prompt...

Introduction I've spent over a dozen years experimenting with Python in environments where it traditionally doesn't belong. From mobile app tooling to interact...

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The biggest shift in agent design over the past year has been context engineering rather than improved models Most of the published guidance focuses on codebas...

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AI agents with real‑world tool access email, phone, browser, payments are powerful—but also dangerous. Without guardrails, an agent could send emails to custome...

The problem Every time your agent starts a conversation, it starts from zero. Sure, you can stuff a summary into the system prompt, use RAG, or call Mem0 or Ze...

Most operators assume their agents are running efficiently. They're not. Not because anyone built them badly, but because nobody audits them. You build the thin...

The Code python import asyncio from agents import Agent, Runner, function_tool from openai.types.responses import ResponseTextDeltaEvent @function_tool def loo...

Most AI tools make their agents invisible. You kick off a job, wait, and get a result. Somewhere in between, agents did things—but you have no idea what, when,...

Every week there's a new AI agent framework on Hacker News. The GitHub stars pile up, the demo videos look magical, and six months later half of them are abando...

Introduction Artificial Intelligence is rapidly transforming how software interacts with humans and performs tasks. Over the past few years three related conce...

I run a Claude agent 24/7. It writes code, deploys services, manages my side projects. Sounds cool, right? Except it kept doing dumb things. And I'd only find...

What Is Agentic AI? Agentic AI refers to AI systems that can take actions in pursuit of a goal rather than simply producing single responses. Capabilities of a...

Introduction Before you sell something, you should make sure it actually works on yourself. That’s the rule I gave my agent — Gary Botlington IV — when we deci...

The 50KB JSON Problem When your AI agent calls a tool—e.g., searching for a user profile in a database—the API often returns a massive JSON payload e.g., 40 KB...

Spoiler: 497 commits, three sleepless nights with SQLite, and one very stubborn race condition that refused to die Reading time: ~12 minutes · For: AI‑agent de...

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How to build your first autonomous AI agent in 2026. The AI agent revolution is here—Anthropic released multi‑agent code review, OpenAI shipped Codex Security,...

Shutdown Details Digg has shut down, for now, just a few months after its open beta launched. The company’s CEO, Justin Mezzell, explained on the home page tha...

Why Most AI Agents Fail in Production And How to Fix It After running autonomous agents in production for months, I've noticed a pattern: agents fail in predic...

Just as useless of an idea as LLMs.txt was It’s all dumb abstractions that AI doesn’t need because AIs are as smart as humans so they can just use what was alre...