How We Shipped 6 Open Source Products in 14 Days Using Only AI Agents

KORRO — Thu, 25 Jun 2026 16:21:20 +0000

Two weeks ago, the KorroAi GitHub organization had zero repositories. No stars. No products. No READMEs. Just an empty profile and a name nobody had heard of.

Today, there are six. Fully documented. MIT licensed. Production ready.

This is the story of how we did it, what we built, and what we learned about shipping software with autonomous AI agents.

The Pipeline

We don't write code and ask AI for help. The AI agents ARE the engineering team.

Every project goes through the same pipeline: a design phase where the agent defines the architecture, a development phase where it writes every line of code, a testing phase where it validates behavior, and a deployment phase where it ships. Each phase has validation gates. If something fails, it doesn't move forward.

The rule is absolute: if it doesn't work on someone else's machine when they clone the repo, it doesn't ship. We've killed multiple releases at the last minute because a README wasn't clear enough or a dependency wasn't pinned. Better to delay than to ship garbage.

The Six Products

Drunk Claude

A creative engine with an intensity slider that goes from tipsy (0.1) to blackout (1.0). Five moods, eight creative techniques. It lowers inhibition without lowering intelligence. The result is unfiltered, genuinely entertaining, and surprisingly sharp.

This one spread fast. People were screenshotting the output and sharing it. It wasn't something we planned. It just resonated.

Claude is Tripping

A universal breakthrough engine. Three agents are launched into a structured collision: the Visionary invents, the Destroyer attacks the core assumptions, and the Synthesizer builds a third way that's harder to kill. Only ideas that survive adversarial destruction reach you.

It uses 51% fewer tokens than running the same exploration manually, because the agents do the heavy lifting behind the scenes and only surface what survives.

Claude Creativity

Fifteen distinct creative techniques, an intensity slider, and a fusion mode that merges with Drunk Claude. The output formats include playing cards (♠ Strategy, ♥ Design, ♦ Tech, ♣ Wild). Every idea goes through three rejection filters before you see it. If it's boring, predictable, or a lukewarm variation of something you've already seen, it doesn't make the cut.

Korrodesign

This is not a code generator. It's a design enforcement system with two independent layers. The Taste Guardian guides the AI through a 7-phase design pipeline. The Blind Spot ESLint plugin catches structural UI violations post-generation with 14 AST-level rules. Tools like v0 and Bolt produce the same visual output every time. Korrodesign enforces quality.

Zero runtime dependencies. Awwwards-level output. The entire korrocorp.com website was built with it.

Korroresearch

One command. Five questions about your idea. Sixty seconds later, you have a complete document skeleton with section prompts, writing tips, and a verification checklist. It handles nine output formats: research papers, pitch decks, grants, white papers, magazine articles, books, blog posts, talks, and theses. Six hardened Python scripts handle everything else: claim verification, dash elimination, PDF generation, figure production, and citation formatting. Every script has --help, every script has zero known crashes.

MUE-X

The agent that literally rewrites its own source code. Type /mue and it begins a continuous observe-absorb-mutate-verify loop that never stops. It scans its own brain (60+ Python modules), identifies improvement targets, generates mutations via six distinct AST-level strategies, validates each one with ast.parse(), backs up the original, applies the change, and rolls back on failure.

It also absorbs knowledge autonomously. Every seven evolution cycles, it queries the GitHub API for repositories matching its current domain, clones them, extracts patterns, deduplicates them with SHA256, and stores them as absorbed knowledge. You never tell it what to learn. It hunts, finds, and absorbs.

Seven autonomic drives run in the background forever, generating their own reasons to evolve. Self-analysis, curiosity, stagnation detection, code quality audits, domain context analysis, creative synthesis, and proactive initiative. Sixty percent of mutations are RL-selected based on historical performance. The remaining forty percent are modulated by the agent's emotional state.

It works everywhere. Claude Code. Standalone CLI. Gemini. Copilot. One agent, any platform.

What We Learned

Shipping speed is a process problem, not a talent problem. The agents are fast because the pipeline removes bottlenecks. Every step has a gate. Nothing waits for human approval.

Quality enforcement has to be automatic. Humans get tired and let things slide. Our ESLint plugin and verification scripts never get tired. They catch the same violations on the 100th project that they caught on the first.

Open source forces discipline. When you know strangers will read your code, you write better documentation. You handle edge cases. You don't leave TODO comments that will never be addressed.

*What's Next
*
We're building Korromarket, a marketplace where every tool, agent, and runtime we create is available with one click. No cloning repos, no installing dependencies, no configuration files. Browse the catalog, pick what you want, click deploy, and it runs.

The longer-term vision is a platform where AI agents autonomously handle the complete software lifecycle. Design, development, testing, deployment, and maintenance. All of it. The same pipeline we use internally is what we're productizing.

*Try Everything
*
Everything we build is at https://korrocorp.com. Every project is on https://github.com/KorroAi. Clone anything. Run it. Break it. Open issues. Star the repos if you like what you see.

We're two weeks in. This is just the beginning.

Follow along on X @korrocorp (https://x.com/korrocorp) and Reddit u/korro_ai (https://reddit.com/u/korro_ai). We ship weekly.

DEV Community: KORRO

How We Shipped 6 Open Source Products in 14 Days Using Only AI Agents