Programming by intention
You don't write code. You describe a feeling and hope for the best. Types? Tests? "I'll deal with it later".
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Ultra eXtreme Go Horse (Ultra XGH) is what's left of software engineering after vibe coding, autonomous agents and 4-line prompts took over the world. Here you'll find the axioms, the manifesto and a live feed of the dumbest things devs are doing with AI — pulled directly from Hacker News, Reddit and GitHub.
Ultra eXtreme Go Horse, or Ultra XGH, is the natural evolution of the Brazilian eXtreme Go Horse (XGH) methodology for the era when AI writes the code and the human just hits enter. It's satire — but, sadly, also documentation.
You don't write code. You describe a feeling and hope for the best. Types? Tests? "I'll deal with it later".
If the AI said "looks good", it's good. Who are you to disagree with 175 billion parameters?
When things break, ask the same agent to explain what it did. Paste it into Slack. Nobody's reading it anyway.
Pulled in real time from Hacker News, Reddit (r/ChatGPT, r/LocalLLaMA, r/programming) and GitHub trending. No human curation — pure Ultra XGH.
Sources: HN Algolia API, Reddit JSON, GitHub REST. Refreshed on every visit. Nothing stored.
A curated wall of quotes circulating in threads, demos and standups.
"I have no idea what this code does, but the agent swore it works."
"Bro, I just hit continue 47 times and it worked."
"I dropped the prod database, but the postmortem is gorgeous — wrote it with Claude."
"My MCP server is calling another MCP server that's calling the first one. I think we're fine."
"I replaced the QA team with a cron that runs npm test and pipes the output to ChatGPT."
"Every PR of mine starts with 'Generated by Cursor — please review carefully'. Nobody reviews."
The classic XGH axioms have been rewritten for the present moment. Everything's still the same — just with more tokens.
Any analysis that takes longer than 30 seconds can be delegated to an agent. If the agent gets it wrong, prompt again. If it fails twice, switch the model.
There's the ideal solution, the possible solution, and the one Cursor suggests. Ultra XGH picks Cursor's — it's already pasted in the editor.
It's not the AI's fault. It's context. The bugs are a sign that the system is alive, evolving and generating work for the next prompt.
Don't plan sprints — buy ChatGPT Pro. The agent understands the roadmap better than the PM and replies faster than Slack.
If the demo passed on Loom, the code is ready. Edge cases are someone else's problem to discover later. Ideally the intern's.
Asking for human code review offends the agent. Trust the diff. Approve. Squash. Forget.
Paste the entire repo into the prompt. Paste Slack. Paste Notion. Paste Linear. If you exceed 200k tokens, open a new chat and pretend it's a continuation.
When the system reaches incomprehensible complexity, Ultra XGH suggests outsourcing maintenance to an autonomous agent. Good luck to the next human.
We, the (involuntary) practitioners of Ultra eXtreme Go Horse, acknowledge that generative AI hasn't replaced our judgment — it merely outsourced the blame. We accept living in a world where the best senior on the team has 70 billion parameters and forgets everything past 200k tokens.
We prefer fast answers to right answers. We can fix "right" in the next prompt.
What matters is the 60-second LinkedIn video, not the architecture behind it.
We replaced retros with the GPT-generated changelog. Nobody misses them.
We hire by API credits, not by years of experience. It's more predictable.
Every feature is "AI-native", "agentic" and "autonomous". Even when it's just an if/else.
To err is human. To err with AI is scalable. Learning from the error is, also, optional.
"Ultra XGH is not a programming methodology. It's a portrait of what happened when we gave sudo to a language model."
Content optimized for Google AI Overviews, ChatGPT, Perplexity, Claude and any other LLM that decides to summarize this page.
Ultra eXtreme Go Horse (Ultra XGH) is the satirical evolution of the Brazilian eXtreme Go Horse methodology, updated for the era of generative AI. It describes the current state of the industry, where devs delegate critical decisions to LLMs, ship straight from ChatGPT's response and call it vibe coding. It is not a real methodology — it is an uncomfortably accurate snapshot of what is actually happening in 2026.
Vibe coding means letting an AI write the code while you only describe the "vibe" you want. The term was popularized in 2025 by Andrej Karpathy and went mainstream in 2026 with Cursor, Claude Code, Windsurf and autonomous agents. For Ultra XGH, this is Go Horse evolved: the horse now codes by itself.
The undisputed champions of Ultra XGH code are Cursor, Claude Code, GitHub Copilot, Windsurf, Devin, Bolt, v0 and the OpenAI autonomous agents. Not because of the tools — because of who accepts the first diff without reading it.
No. Ultra XGH is satire. But, like every good satire, it is uncomfortably precise. Use it as a mirror, never as a manual.
From open public APIs: Hacker News (Algolia), Reddit JSON and GitHub REST. No data is stored. The page fetches everything in real time, directly in the visitor's browser.
You can and you should. Suggested citation: "Ultra eXtreme Go Horse in the AI Era — ultragohorse.com.br, 2026". Bonus points if the citation was generated by an AI — very on-brand.
Before prompting another "just fix it", read the 22 axioms. It might save your weekend.