nibzard

I was staring at my server logs, watching as AI agents crawled my site alongside human visitors.

Technical autopsy of a real Claude Code session.

I was watching yet another promising developer tool launch unfold when it hit me: we’re still getting developer marketing wrong in 2025.

Most AI startups are playing the wrong game on the wrong timescale.

I’ve had a front-row seat to the AI orchestration challenge that most developers don’t see coming.

Every great project starts with a crazy idea in the shower.

Two years ago, I wouldn’t have dreamed of publishing a Chrome extension.

Part 2: How we built a strategy controller that coordinates algorithmic approaches and learned to compete with the best is a continuation of the “Vibe Coding Through the Berghain Challenge” article. # From RBCR to Transformer: The Next Evolution After ach…

# The Experiment I used AI to analyze the repository of a project AI itself was working on.

We’re past the point where “AI coding agents” means a single category.

This article documents an experiment in AI-human collaboration for solving complex optimization problems.

⚠️ Performance Warning: This setup works on Oracle’s Always Free VM.Standard.E2.1.Micro but the experience is quite limited due to the very weak CPU (1/8 OCPU).

The discourse around AI-generated code liability sounds reasonable until you play it forward.

AI agents don’t need fancy MCP.

Picture a thousand AI agents working on a single codebase.

I implemented the Frontier Reduction Engine from Duan et al.’s 2025 paper “Breaking the Sorting Barrier for Directed Single-Source Shortest Paths” in production Zig.

AI coding assistants excel at one thing: making code that compiles.

Five runs.

We’re speedrunning through a Cambrian explosion.

# Forget Everything You Learned About SaaS Growth The traditional SaaS playbook is dead—at least when it comes to AI developer tools.

Imagine having a powerful AI coding assistant running in your pocket, ehm homelab, that you can access from anywhere.

# From Infrastructure to Intelligence and the Future of AI Integration The transition from technological innovation to ubiquitous societal adoption has historically followed remarkably consistent patterns.

There’s a moment when a tool stops being a tool and becomes an agent.

Blink, and your entire worldview could shift.

The smartest model in the world is useless without the right context. — Mike Krieger When you make one part of a system dramatically faster, you don’t just speed up the whole system.

Research that is deeply rooted in data and code writes itself.

The boundaries between technical and non-technical roles are dissolving before our eyes.

What happens when you stop talking about AI and start shipping with it?

Claude Code is a powerful, flexible, terminal-first AI coding assistant designed to integrate deeply with existing developer workflows and tools.

Senior engineers have to talk themselves into coding some things… but with AI, I just start writing a wishlist in the text box and send it off.

# The Credit Burn Problem My recent experience with AMP illustrates a fundamental pricing problem.

We’re witnessing the fastest consolidation in the history of developer tooling.