Real AI agent use cases, with sources and setup prompts

Run a 125B MoE coding-agent model on two 16 GB gaming GPUs

capy-flash runs Qwen3.8-Flash-Next (125B MoE) in NVFP4 on two RTX 5070 Ti cards. In the author's tests it finished 20 of 20 multi-step coding tasks with zero malformed tool calls and serves OpenAI- and Anthropic-compatible endpoints.

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Source

Feyd on Hacker News · 2026-10-16 · Project link

Written in our own words. Credit to the original author. Link checked 2026-10-16.

What they did

capy-flash runs Qwen3.8-Flash-Next (125B MoE) in NVFP4 on two RTX 5070 Ti cards. In the author's tests it finished 20 of 20 multi-step coding tasks with zero malformed tool calls and serves OpenAI- and Anthropic-compatible endpoints.

Result (as claimed)

About 100 tokens/sec generation in the author's benchmark; 7 points on Show HN.

Tools they used

Cost: Pricing depends on the tools you pick; check each official pricing page.

Set it up

  1. Pick a contained repo or task

    Start on a branch or side project where mistakes are cheap.

  2. Install and configure

    Set up Qwen. Read what it can run on your machine and limit permissions where possible.

  3. Run it on a real task

    Give it a well-scoped issue and let it work. Review the diff like any pull request.

  4. Add guardrails

    Keep tests and CI in the loop, and never let an agent push to main or touch production secrets unattended.

Copy the full setup prompt

Paste into your agent and it will walk you through the setup, asking before anything that sends, posts or spends.

You are helping me set up this AI use case end to end in Claude Code.

Goal: Run a 125B MoE coding-agent model on two 16 GB gaming GPUs
What the original author did: capy-flash runs Qwen3.8-Flash-Next (125B MoE) in NVFP4 on two RTX 5070 Ti cards. In the author's tests it finished 20 of 20 multi-step coding tasks with zero malformed tool calls and serves OpenAI- and Anthropic-compatible endpoints.
Reported result (as claimed by the author): About 100 tokens/sec generation in the author's benchmark; 7 points on Show HN.
Source: https://news.ycombinator.com/item?id=50118153
Tools they used: Qwen
Category: Dev & ops

Please:
1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like).
2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure.
3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data.
4. Finish with a checklist to run it again next time.

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