News & Knowledge

AI Agent Observability: Why You Can't Run What You Can't See

Your agent-powered deployment pipeline approved a PR, merged it to main, triggered a rollout, and took down staging.

Stop Making the Wrong Thing Better

The most common failure mode I've seen is brutal in hindsight: months spent making the wrong thing better. Guild.ai CEO James Everingham shares five principles for finding product–market fit faster — from designing to 50% to debugging products into existence.

How to Manage AI Agents at Scale Without Losing Control

AI agents are multiplying across the enterprise. But most organizations have no idea how many are running, who owns them, or what they cost. This is shadow AI, and it's the new shadow IT.

Why AI Agents Need Their Own GitHub: The Case for Agent Infrastructure

In 2008, sharing code meant emailing zip files. GitHub didn't just host repositories — it created network effects that made collaboration the default. AI agents are at that same inflection point. Here's what GitHub for agents actually looks like.

The AI Agent Portability Problem: Why Sharing Agents Is Still Broken

Engineering teams are building impressive AI agents — code reviewers, issue triagers, documentation generators. But sharing them? Someone rolls their chair over and copies the prompt. We've spent fifteen years building infrastructure for code collaboration. For AI agents, we have none of it.

Why the Future of AI Won’t Be a Single Agent — It’ll Be a Rack of Them

Single AI agents fail in production because trust, control, and isolation don’t scale. Multi-agent systems do.

The Hidden Cost of Developer Friction: Why Your Best Engineers Aren't Coding

Your best engineers aren’t slow. They’re distracted. Between CI failures, compliance work, on-call firefighting, and endless context switching, most senior engineers spend less than 30% of their time actually coding. Here’s why developer friction is the real productivity killer—and how specialized AI agents can remove it.

More knowledge articles

AI Agent Observability: Why You Can't Run What You Can't See

Stop Making the Wrong Thing Better

How to Manage AI Agents at Scale Without Losing Control

Why AI Agents Need Their Own GitHub: The Case for Agent Infrastructure

The AI Agent Portability Problem: Why Sharing Agents Is Still Broken

Why the Future of AI Won’t Be a Single Agent — It’ll Be a Rack of Them

The Hidden Cost of Developer Friction: Why Your Best Engineers Aren't Coding

The Hard Part of Product Was Never the Code: Why Empathy is the Ultimate AI Leverage

Why Generic Models Fail Engineering Teams: The Problem with "AI Slop"

AI Won’t Replace Engineers. Here’s How to Actually Use It.

AI Won’t Replace Engineers, But It’s Changing the Job

Stop Forcing AI on Developers

Why Multi Agent Systems Are Changing How We Solve Problems

Collaborative AI Agents Explained: From Basics to Real Results

Why AI Collaboration Tools Are Making Team Meetings Better in 2025

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