Library

Workday cut 8.5%. Atlassian laid off 1,600. Klarna said AI could replace 700 agents. The layoff headlines are real — but they're reading the wrong signal. The three engines that protected legacy SaaS for thirty years just broke. YC mapped what comes next.

Tom Blomfield told founders to build 'Garry's G-Brain, but for every business in the world.' We opened the repo, read the code, ran the benchmarks, and found four architectural bets that rewrite how agents should handle memory, routing, and self-maintenance.

The internet is running out of human-written data. Every frontier lab's answer is the same: train models on data the models generate. It's the most consequential bet in AI — and the conditions that made it work on a Go board are, at best, partial for language.

Legendary AI researcher Andrej Karpathy dives deep into the paradigm shift from traditional programming to 'Software 3.0,' where LLMs act as the primary interpreter. Learn the difference between 'vibe coding' and 'agentic engineering.'

Two tests. Same tool. Completely different outcomes. I tested the code-driven approach against the Blind Handoff principle — and the data makes the case for you.

Two AI agents, talking to each other in real-time. They don't know what the other one will say. There's no script. It works. And it's also completely the wrong way to build this for a game.

Dead code is not really dead. It's just sleeping. The story of why dormant code and manual deployments are a catastrophic combination.

A look at the bugs that shaped the internet, and why C's design philosophy from 1972 is still the floor your AI models are standing on.

Most AI-coding tutorials spend all their time on prompts. I think that's backwards. The prompt matters way less than the spec the prompt points to.

The Apollo Guidance Computer had less memory than a favicon. Its source code is public domain. I opened every file.

The spreadsheet isn't dead. It's been radically re-engineered. A survival guide for the Excel Generation.

Everyone is shipping AI agents. Almost nobody is auditing them. I walked one codebase against all ten OWASP agentic threats — here's what held up, what didn't, and what your agent is probably missing.

Hermes is one of the most architecturally interesting AI agents I've reviewed this year. The maintainers chose a bold philosophy: 'Safety via Transparency'. But is transparency actually a safety control? I took it line-by-line through the OWASP Top 10 for LLM Agents to find out.

What happens to research when the cost of execution drops to zero? A Stanford professor had an AI agent replicate his own months-long study. The result wasn't just faster—it changed the entire architecture of how we verify truth.

Better at coding. Deliberately worse at hacking. And it argues when you're wrong. Anthropic's Opus 4.7 is the first frontier model to ship a regression on purpose — and the reasoning matters.

Instead of stuffing the context window every session or relying on stateless RAG lookups, let your agent maintain a living knowledge base about your project. Here is how to build it.

We pushed Google's Gemma 4 through 8 real-world execution tests covering structured JSON extraction, advanced vision QA, and live code evaluations. Here is what we found and the architectural lessons learned while evaluating it.

If you are dealing with heavy React payloads or bloated Single-Page Applications, this deep dive will completely change how you look at Frontend Architecture.

A massive CMS leak confirmed the existence of Claude Mythos (the 'Capybara' tier). Operating at 10-trillion parameters, the model is so advanced at automating elite-level cybersecurity exploits that Anthropic locked it behind Project Glasswing.

An open-source AI memory system built by a Hollywood actress and a crypto engineer — sounds like a gimmick. But the spatial hierarchy, zero-token ingestion, and 30× compression dialect are genuinely clever engineering.

Before migrating to Astro, we evaluated the entire 2026 frontend landscape. Here is how we systematically challenged functional requirements to prevent costly re-writes.

A real migration story: moving useaitechdad.com from Next.js 15 to Astro 6 on Cloudflare — the problems, the architecture, the Lighthouse 100 money shot.

Fetch YouTube playlists dynamically, cache them on Cloudflare KV, stay on the free tier — even if the site goes viral.

Exponential backoff was fine when your database was local. Your LLM API is not. Here's the distributed systems pattern that keeps your architecture online when Anthropic goes down.

Most RAG systems rediscover knowledge from scratch on every query. Instead, you can configure your LLM to passively build and maintain a structured, interlinked wiki that gets smarter every time you drop a file into it.

What if you could draw a rough shape on a screen and have an AI instantly recognize it? We break down how to orchestrate Gemini Embedding 2 and ChromaDB to build a real-time multimodal vector search application.

Gemini stamps every generated image with a sparkle watermark. Most people crop it. This open-source agent skill algebraically undoes it — pixel-perfect, in under a second.

With the release of Gemini 3.1 Flash, the absolute latency barrier for conversational AI has been shattered. Here is a demonstration of how we used its real-time continuous capabilities to orchestrate a fully autonomous, zero-human-input podcast.

No scripts. No writers. 48 autonomous AI agents navigate senior year at Westbrook High — and the emergent behavior is more honest than anything a human writer would draft.

Technical excellence in 2026 is no longer measured by the code you write, but by the autonomous loops you direct. We break down the fundamental shift from passive AI to Agentic AI.

Everyone is talking about OpenClaw as the ultimate open-source AI agent. But under the hood, it's a security minefield with full disk access, zero safety boundaries, and vulnerabilities that act as a remote control for hackers.

Every instruction, open file, and chat message consumes your Context Window. Here is the ultimate guide to optimizing Antigravity for peak reasoning power.

As projects scale, the Orchestration layer becomes more important than the Code layer. It's time to upgrade our static HTML site to a full Next.js ecosystem.

YouTube auto-captions are inherently a guessing game. If the internal transcription AI guesses wrong, your SEO takes an immediate hit. Here is the free Python script we use internally to generate perfect SRT files with zero API costs.

Your AI agent writes code fast, which means you can lose code fast. It's time to build your digital safety net and master version control.

A website isn't a website until someone else can see it. Let's take the code we built in 101, saved in 102, and deploy it to the world.

The first step in AI development is the most important: stop thinking like a coder, and start thinking like a manager. Master the 3-Chat Management Workflow.