Context Assembly for Multi-Tenant Agent Memory: Budgets, Selection, and Tool Calls with MCP
Context assembly builds the agent's prompt from memory under versioned rules, and it records every rendered memory the model saw. Companion notebook…
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The Globe: Following Your Reasoning Into Other People's Repositories
Keep the Why records why a codebase is the way it is. Decisions can cite decisions in other repositories. The Globe follows those citations outward,…
Build Your First GitHub Copilot Custom Agent: A Practical LoadRunner Example
Creating Custom Agents in GitHub Copilot A good Copilot conversation can solve a one-off problem. A custom agent turns that conversation into a repe…
Open Source Alternative to Claude Code and Cursor: Meet Cline
Cline is an open source, autonomous coding agent. Instead of just autocompleting the line you're typing, Cline can read your entire project, plan ou…
Claude Code Skills Worth Trying: From Vague Idea to Finished Feature
I’ve tried out a lot of Claude Code skills, and a few of them are especially useful when you combine them into a workflow. Not because they magicall…
How to Add a Verification Loop to Your AI Agent in 30 Minutes
AI agent loops can produce an output, run some checks and move on without establishing that the result actually satisfies the task. The problem gets…
Build with Gemini Event Review: Developing AI Agents with ADK and Agents CLI
I recently attended Build with Gemini Tokyo , a two-day event hosted by Google. https://cloudonair.withgoogle.com/events/build-with-gemini26q3 The e…
Agent Toolkit for AWS in Practice (1) - Claude Code
Part 1 of the series "Agent Toolkit for AWS in Practice." Agent Toolkit for AWS gives your coding agent two things it normally lacks: curated knowle…
Skills Sprawl: When Too Much of a Good Thing Confuses Your AI Agent
Introduction In this post, we’re going to look at the problem of Skills Sprawl . What happens if you have too many skills? We’ll understand LLM deci…
The Plan and the Worker: Two Open Specifications for Agent Harnesses
Every agent harness solves the same two problems, and almost every one of them solves both privately. The first problem is decomposition. A task arr…
LoopX: A Control Plane for AI Agents That Have to Keep Working for Days
If you have ever pointed a coding agent at a multi-day goal, you know the failure mode. It is not that the model writes a bad function. It is that o…
Test smarter with Snagly: 30 open-source QA skills for AI coding agents
If you've experimented with AI-driven testing, you've probably lived this cycle: you ask an AI agent to "test the checkout flow," and it does someth…
Qwen3.8-Max Just Went GA: A Developer's Guide to Alibaba's 2.4T Model
Alibaba made Qwen3.8-Max generally available on August 3, 2026 . This is a practical rundown for developers: what the model is, what it costs, how t…
Behind the scenes: How we build, test, and scale Google Agent Skills
AI agents are only as good as the instructions and context you give them. When we launched Google Agent Skills , our goal was simple: encode Google…
Build a Support Copilot That Loads the Runbook Before It Calls a Tool
An AI support demo can look finished after it answers one question and calls one API. The production tension appears later: the model has instructio…
garden-skills packages taste and process for AI coding agents
ConardLi's garden-skills makes a specific bet: what holds AI coding agents back is not raw capability but taste and process discipline. Each skill i…
Why Your AI Agent's Biggest Vulnerability Isn't a Missing Firewall
(initially published at https://www.humanbound.ai/blog/why-your-ai-agents-biggest-vulnerability-isnt-a-missing-firewall ) Three incidents, one root…
Prose in the Control Plane: Why AI Agent Frameworks Are Not Engineering (Yet)
Skill frameworks for AI coding agents are exploding in popularity. As of July 2026, Superpowers has roughly 256,000 GitHub stars, Matt Pocock's skil…
Superpowers vs Agent Skills vs Pocock: Three Philosophies of AI Coding Workflows
Every few months, a new framework appears promising to make AI coding agents write better code. Three have risen above the noise in 2025 and 2026: S…
Teaching AI Agents to Time-Travel: Building a Temporal Debugging Skill
Your AI agent is confident. It points to line 42 of PaymentService.java . "There's your null pointer exception." You check. Line 42 is a comment. Th…
Make AI Agents See Your Website
AI coding agents are now part of the developer workflow. Whether we like that shift or hate it, users ask Codex, Cursor, Claude Code, GitHub Copilot…
Introduction to Agentic AI
Introduction to Agentic AI You must be hearing the term "Agentic AI" a lot and wondering what it means. In this blog, I am going to explain: What is…
I Rolled Back My MCP Skills Experiment. Here's What I Learned
TL;DR I introduced a SKILL layer while improving fare extraction in a MCP-based transit agent. After that, the agent stopped reliably using the MCP…
I Spent a Week Fixing the Wrong Skill (And Other Lessons from Evaluating an AI PR Reviewer)
TLDR The baseline model (Claude Opus, no guidance) already catches ~65% of textbook bugs. The plugin's value comes from false positive suppression a…
I Shipped an Angular v22 Book Update with a Crew of AI Agents. Here's the System
I just shipped a major update to my book Mastering Angular Signals - a brand-new Angular v22 Edition . Not a typo pass: an updated manuscript, a com…
As SpaceX deal looms, Cursor partners with Chainguard to secure open-source dependencies in AI-built code
Cursor has spent the past week in headlines after confirming a partnership with SpaceX that could eventually lead to a $60 billion acquisition . The…
SDLC to ADLC
Enterprise software development is undergoing a fundamental structural shift. For decades, the traditional Software Development Life Cycle (SDLC) re…
The Conspiracy Big Software Engineering Doesn't Want You to Know
Buckle up, gang — it's conspiracy theory time. I've had this theory percolating in the back of my head for a while now. It was seeded as I started l…
How context travels in a multi-agent world
Engineering teams building with AI agents have largely solved the single-agent problem. The harder challenge arrives when capabilities get split acr…
Univeros: How AI Agents Revived My Seven-Year-Old PHP Framework Project
On reviving Univeros, and why layering AI on top of a framework is the wrong approach. There’s a project folder I’ve avoided revisiting for almost a…