Sujee Maniyam✓

Chris Pirillo @ChrisPirillo

Vibe Coding & AI News to Use: October 27, 2026… A visual explainer traces an LLM API request to the GPU and back. @sujee_dev Better Backlog filters GitHub issues with decision models. @AnthropicAI shares early progress on drug development with Claude. OpenAI's Codex CLI reaches rust-v0.165.0. Gemini CLI v0.67.0-preview.0 rolls out a new preview build. @googleaidevs @hexanalytics raises $100M. CleanCode puts Claude Code and Codex on one shared canvas. Agent Skills collects 51 SKILL.md workflows for coding agents. OpenBot 0.52.1 refreshes a desktop workspace for persistent AI teammates. @discord will soon surface public server messages through Google. Wenlan is an LLM wiki that flags what it can't back up. Ghostty 1.4 is out. Genie 4 opens a new generation of DeepMind world simulation. OpenHands 1.34.0 updates the open-source coding agent. @jetbrains ThinkRail ships a new v0.3.0 nightly of its vibe-coding IDE. Wikipedia's cleanup project tackles AI-generated writing. @ieeespectrum Cindy v0.1.118-beta iterates on an out-of-the-box open-source agent. PulseDev: click a UI bug on localhost and your agent fixes it. Revix AI reviews code against your repo's own rules. @userevix Try this image style: Take the attached photo and redraw it as Needle-felted wool diorama: eyes two round buttons of dense black wool framed by stitched ring rims, nose a softly pinched wool wedge, mouth one strand of roving couched in a closed gentle smile, hair a close cap of felted charcoal fibres with a soft halo of loose fleece, and hands and body shaped from firmly needled oat-coloured wool that keeps its visible felting-needle pockmarks. Palette: oat fleece, madder red, slate blue, charcoal wool. Waist-up three-quarter view of Chris at a wide shared table, needle-felting the last seam of a small madder-red helper robot while its slate-blue felt mate reaches across a single stretched canvas lying flat between them, loose wisps of raw fleece and a barbed needle resting at the table edge, warm side light raking the fuzzy wool halo. Keep the person recognizable. Square, no text. Meet Seattle-area builders at Builder Day and Builder Night. See the calendar for upcoming events.

Kimi.ai @Kimi_Moonshot

Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: 🔗 Tech blog:

Artificial Analysis @ArtificialAnlys

Announcing Artificial Analysis Coding Agent Index v2.0: FrontierCode v1.1 from Cognition replaces DeepSWE, SWE-Atlas-QnA grading is revised, and Claude Opus 5.5 in Claude Code leads at 61.7 Today we are launching v2.0 of the Coding Agent Index. The Index evaluates models together with their agent harnesses, now across 290 tasks covering software engineering, terminal use, and repository Q&A, with the three benchmarks weighted equally. Changelog (Index v1.5 → Index v2.0): → FrontierCode v1.1 replaces DeepSWE v1.1. FrontierCode is a benchmark from @cognition with a private test set: 100 software engineering tasks on real open-source repositories, graded on whether a maintainer would merge the change. An attempt that fails a blocking check scores zero, and one that passes them all scores between 70% and 100% depending on the non-blocking checks it meets. We also scan each trajectory with a modified version of Cognition's rule-based scanner, and any attempt flagged for accessing solution material scores zero. → Revised SWE-Atlas-QnA grading, now SWE-Atlas-QnA-AA. Scale AI's 124 repository Q&A tasks are unchanged. We reworded 127 of the 1,306 rubric criteria for more consistent verdicts and moved to GPT-6 Luna (xhigh) as the judge, with five votes per criterion. The dataset and judge configuration are published on Hugging Face. Key results: ➤ Claude Opus 5.5 leads the Index: Claude Code with Claude Opus 5.5 (max) scores 61.7, followed by Claude Code with Claude Sonnet 5.5 (max) at 59.3, Muse Code with Muse Wonder Full (max) at 58.9 and Claude Code with Claude Fable 5.1 (max with fallback) at 57.6. ➤ FrontierCode v1.1 is where Opus 5.5 pulls ahead: Opus 5.5 scores 56.0% on FrontierCode, ahead of Codex with DeepSeek V4.1 Flash (max) at 52.6%, Codex with GPT-6.1 Sol (max) at 49.4% and Codex with GPT-6 Astra (max) at 49.3%. Below the top, FrontierCode scores are tightly packed: 15 of the 24 configurations on the Index score between 43% and 49%. ➤ SWE-Atlas-QnA-AA grading is stricter and more consistent: across the 21 configurations evaluated on both Index versions, the mean score falls 1.7 points, from 58.8% to 57.1%, with 14 of 21 moving down. Individual configurations move by up to 7 points: Muse Code with Muse Spark Open (xhigh) falls 7.0, Kimi K3 in Kimi Code CLI and Codex with GPT-6 Luna (max) 6.2, and Muse Code with Muse Wonder (max) 5.6, while Codex with GPT-6.1 Sol (max) gains 2.1. ➤ Four configurations sit on the cost frontier: Codex with DeepSeek V4.1 Flash (max) scores 47.3 at $0.39 per task, Codex with GPT-6.1 Sol (max) 54.1 at $1.50, Codex with GPT-6 Astra (max) 54.7 at $7.04 and Claude Code with Claude Opus 5.5 (max) 61.7 at $11.42. Costs are pay-per-token API costs, not subscription prices. We will keep updating the Coding Agent Index incrementally, with more evaluations and agents to come.

Sujee Maniyam @sujee_dev

What actually happens when you send a request to an LLM? Gateway → tokenizer → router → queue → prefill → decode → streamed back to you, one token at a time. I'm tracing the whole trip tomorrow at Hacktoberfest 2026. ⚡ Thu, Oct 22 online @ 10am PT / 1pm ET link below 👇