Agents from linear tickets, so like https://
github.com/openai/symphony ?
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Are Linear ticket agents like OpenAI Symphony?
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Autotriage skill reads VISION.md and autonomously handles issues/PRs
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I built an autotriage skill for codex that has a set of guidelines + reads VISION.md from my repos, so issues/prs that have a clear way of
– fit vision of the project
– being inferrable in code with high confidence
– clear fix
– can be live tested Are now worked on autonomously. -
Codex for building and debugging iPhone simulator end to end
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Codex for building and debugging an iPhone simulator end to end: https://t.co/qA5WlK0OzA
— Greg Brockman (@gdb) 23 mai 2026Codex for building and debugging an iPhone simulator end to end:
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Lightning Indexer DSA Top-k Inference Path Demo
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It’s just demoing the inference-time DSA top-k selection path at this point. The Lightning Indexer has trainable parameters, but this version does not train them (yet)
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DeepSeek Sparse Attention Implementation in LLMs Repository
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Added a DeepSeek Sparse Attention (DSA) from-scratch implementation to my LLMs-from-scratch repo thanks to an awesome new reader contrib. With motivation, overview, and GPT-style model reference implementation as standalone example code: https://
github.com/rasbt/LLMs-fro
m-scratch/tree/main/ch04/09_dsa
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llmfit CLI tool auto-detects hardware and ranks 206 models by VRAM
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Stop guessing which models fit in your VRAM! llmfit is a CLI tool that auto-detects your hardware and ranks 206 models by what actually runs on your system. You download a 70B model and hope it fits. Or you estimate memory requirements across quantization levels and still end
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Prompt Engineering, Context, and Harness Engineering Explained
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from prompt to context to harness engineering. three terms keep coming up in AI engineering, and they get conflated all the time. here is the cleanest way to understand what each one is and how they fit together. 𝗽𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝘀 𝘁𝗵𝗲 𝗺𝗲𝘀𝘀𝗮𝗴𝗲.
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Using Codex-to-Codex oversight improves AI outputs
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This works because you're adding a layer of oversight between you and the output. When you ask Codex to do something directly, it executes. When you ask Codex to ask Codex, the first agent becomes your project manager. It plans, delegates, and reviews the work before you ever
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Defending Claude Code’s code as logical and elegant
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Bullshit Nothing ugly about code Claude Code writes, it's logical and elegant
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Prompt Versioning and Rollback in AI Development
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Solid list! Prompt versioning is another thing I would add here. You always need mechanisms to roll back a prompt change.