truly magical how even insanely hard problems start to look simple if you just sit with it for awhile, mull it over and start with a duct tape shitty prototype true moat is in fcking around and finding out & repeating this all the way down
CODE
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MiniMax M2.7 on 4x DGX Sparks with vLLM and OpenCode
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MiniMax M2.7 at home running on 4x DGX Sparks
— Ahmad (@TheAhmadOsman) 12 avril 2026
vLLM serving full BF16 weights, 200k context
OpenCode having the model monitor its own hardware and report thermals, tokens/sec, TTFT, and other runtime stats in real time
What benchmarks / workflows / things do you wanna see next? https://t.co/iCR8UsLs8E pic.twitter.com/I04c7j6UkgMiniMax M2.7 at home running on 4x DGX Sparks vLLM serving full BF16 weights, 200k context OpenCode having the model monitor its own hardware and report thermals, tokens/sec, TTFT, and other runtime stats in real time What benchmarks / workflows / things do you wanna see next?
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Lightweight AI Agent Processing Memory Continuously 24/7
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An AI Agent that runs 24/7 as a lightweight background process, continuously processing, consolidating, and connecting information. Just an LLM that reads, thinks, and writes structured memory. Built with Gemini 3.1 Flash Lite.
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DeepAgents CLI: Exploration Tool for AI Agents
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definitely is! we have deepagents cli which is our exploration
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LangChains create-agent vs DeepAgents SDK comparison
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LangChains create-agent is a super minimal agent sdk If you want a more batteries included – that’s deepagents Middleware lets you extend both of them and customize behavior in a more advanced way
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Parallel Agentic Workflows skill now live for all CLI agents
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Skill for Parallel Agentic Workflows is now live Works w/ any CLI agent harness
(Codex, Claude, Kimi, OpenCode, Droid, etc) Be warned this was vibecoded from my workflows, not fully tested Should be a GREAT STARTING POINT nevertheless Give the screenshot below to your agent -
GitHub Repository: Andrej Karpathy Skills Learning Resource
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GitHub repo: github.com/forrestchang/andr…
→ View original post on X — @akshay_pachaar, 2026-04-12 17:02 UTC
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Claude.md File Reaches 15K Stars with AI Coding Guidelines
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A single 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 file just hit 15K GitHub stars. (derived from Karpathy's coding rules) Andrej Karpathy observed that LLMs make the same predictable mistakes when writing code: over-engineering, ignoring existing patterns, and adding dependencies you never asked for. If you've used AI coding assistants, you've hit all of these. But here's the thing: If the mistakes are predictable, you can prevent them with the right instructions. That's exactly what this 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 does. You drop one markdown file into your repo, and it gives Claude Code a structured set of behavioral guidelines for your entire project. This is a big deal. – Built entirely around prompt engineering for AI coding assistants – No framework, no complex tooling, just one .md file that shapes behavior Developers are moving past "use AI to write code" and into "engineer the AI's behavior so the code is actually good." The Claude Code ecosystem is growing fast, and the best tools in it aren't always software. Sometimes they're just well-crafted instructions. 100% open-source. I've shared a link to the GitHub repo in the next tweet!
→ View original post on X — @akshay_pachaar, 2026-04-12 17:02 UTC
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Vibe-coding with Codex Cli using parallel agents for implementation
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You don't even need the skill that
Codex Cli is currently vibe-coding Take this screenshot and tell an agent-after it gives you an implementation plan-to use 1 of the 2 paths (you need to specify) for the actual implementation using parallel agents Done -
Openclaw Agent Implementation for Specific Use Case
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Openclaw agent that he is using for his use case