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#llm-tooling

@GergelyOrosz: Wrote this in July 2025. It's now starting to happen, everywhere: build systems, CI, source control, code review: all u…

X AI KOLs Following ↗ · 2d ago Cached

Gergely Orosz 的 Pragmatic Engineer 通讯文章回顾 2025 年软件工程与 LLM 的结合现状,涵盖 Anthropic、Cursor、Google、Amazon 等公司如何使用 Claude Code、Cursor、Windsurf 等 AI 开发工具,以及资深工程师们的观察。

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#llm-tooling

@PrajwalTomar_: I run 5 one-person companies and every single one of them runs inside Cursor. I've used Grok Bot almost daily since it …

X AI KOLs Following ↗ · 3d ago Cached

一位运营5家一人公司的创业者分享他基于 Cursor 的 AI 工作流系统:用 AGENTS.md、每条业务线独立文件、CEO agent 排程、日志与审查机制,把 AI 产出控制在可审查范围内以稳步走向 $50K MRR。

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#llm-tooling

@mattpocockuk: Some mistakes you might be making: Your effort level is too high Your skills are too long You're not aligning before yo…

X AI KOLs Timeline ↗ · 4d ago Cached

Matt Pocock lists common mistakes developers make when working with AI coding agents, including misaligned effort, overly long prompts, weak automated checks, poor codebase navigation, and insufficient agent autonomy.

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#llm-tooling

Loop Engineering: Optimizing Code Generation and Verification

Hacker News Top ↗ · 5d ago Cached

Bradley Gibbs 的文章提出"循环工程"方法,介绍如何通过优化终端评估、内层循环与学习循环来降低 AI 辅助代码生成带来的验证瓶颈,保留人类的时间、注意力与判断力。

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#llm-tooling

Mistral Large 4

Simon Willison's Blog ↗ · 2026-10-06 Cached

Simon Willison tests Mistral Large 4 alongside frontier models (Claude Opus 5.5, GPT-6.1, Gemini 3.8 Flash) by generating an SVG of an armadillo in fishnet tights jaywalking on Mars, highlighting how saturated benchmarks push toward absurd creative prompts.

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#llm-tooling

@exploraX_: this open-source agent harness is the #1 trending tool on GitHub right now. that’s because it beat OpenClaw and Hermes …

X AI KOLs Timeline ↗ · 2026-10-05 Cached

OpenHuman is an open-source AI agent harness with a Rust core that has become the #1 trending tool on GitHub, claiming better efficiency, lower RAM/CPU usage, and faster results than OpenClaw and Hermes.

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#llm-tooling

@yifanxu_ephai: Sharing a paper breakdown skill released by one of our group members: Paper-Xray "There are a total of 15 XML sections,…

X AI KOLs Timeline ↗ · 2026-10-04 Cached

A group member released Paper-Xray, a paper-breakdown skill with 15 XML sections that generates detailed technical reports on papers (and other content). Tested against models like dsv4.1f, space bunny, and gpt6.1sol, it reportedly produces more comprehensive breakdowns than public blog posts, though slightly less human-sounding.

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#llm-tooling

The Era of Software Quality, or the Era of Ostriches?

Lobsters Hottest ↗ · 2026-10-03 Cached

GNOME developer Michael Catanzaro argues that AI vulnerability scanning is now essential for maintaining secure, high-quality open-source software, noting that AI-generated vulnerability reports have improved dramatically in 2026 despite still causing issues like verbose or occasionally fabricated reports.

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#llm-tooling

The search / extractor that worked for my Open WebUI.

Reddit r/LocalLLaMA ↗ · 2026-09-30

A user shares their setup for free, simple web search extraction in Open WebUI using OpenSERP, including two PRs: one making OpenSERP compatible with OWUI's extractor and another adding OpenSERP as a search provider in Open WebUI.

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#llm-tooling

Decisions API (1 minute read)

TLDR AI ↗ · 2026-09-30 Cached

OpenAI developers' thread-reader roundup highlighting developer updates around the Decisions API, alongside other announcements like GPT-Live-1, Codex skills, and the open-source Open Responses spec.

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#llm-tooling

Why Is Every AI Agent Written in TypeScript?

Reddit r/AI_Agents ↗ · 2026-06-04

The article explores why TypeScript has become the dominant language for building AI agents and agent frameworks, questioning why alternatives like Rust or C++ aren't more prevalent.

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#llm-tooling

@jerryjliu0: Agents + file sandboxes are all in the range in 2026 This is a nifty reference implementation by @itsclelia showing you…

X AI KOLs Following ↗ · 2026-05-11 Cached

This reference implementation demonstrates how to run an LLM agent securely within a local sandbox to process and analyze various document types using Rust, LiteParse, and microsandbox. The open-source CLI leverages OpenAI's GPT models and native bash commands to perform file retrieval and analysis in an isolated environment.

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#llm-tooling

@AlphaSignalAI: https://x.com/AlphaSignalAI/status/2052836621905510541

X AI KOLs Timeline ↗ · 2026-05-08 Cached

Hermes Agent v0.13.0 ('The Tenacity Release') ships with durable Kanban, persistent goals, Checkpoints v2 with rollback, and 8 P0 security fixes, positioning itself as a runtime persistence layer alongside coding agents like Claude Code and Codex. The release coincides with cheap 1M-context models like DeepSeek V4-Pro and MiMo-V2.5-Pro, making long-running agentic software work more viable.

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#llm-tooling

Kimi vendor verifier – verify accuracy of inference providers

Hacker News Top ↗ · 2026-04-20 Cached

Moonshot AI has open-sourced the Kimi Vendor Verifier (KVV), a tool designed to help users verify the accuracy and correctness of inference provider implementations for open-source models like Kimi K2. It uses six critical benchmarks to detect infrastructure-level issues such as KV cache bugs, quantization degradation, and parameter misuse.

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#llm-tooling

@ItsRoboki: https://x.com/ItsRoboki/status/2046220862546960563

X AI KOLs Timeline ↗ · 2026-04-20 Cached

A developer argues that modern AI agent terminology (harnesses, orchestrators, memory layers, etc.) is largely rebranding of familiar software engineering patterns, coining the phrase 'Vocabulary Tax' for the intimidation new jargon creates. The post aims to demystify agentic AI concepts for experienced developers.

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#llm-tooling

Oct 1, 2026ScienceClaude-shaped science

Anthropic Research ↗ · 2026-10-01 Cached

In this Anthropic guest post, Prof. Matthew Schwartz describes BootLoops, an open-source toolkit of scientific software and protocols built with Claude to do exact calculations in quantitative science. By deliberately targeting "Claude-shaped" problems, the tools surfaced cross-domain connections to ecology, population genetics and other fields, which domain experts then helped steer toward scientifically meaningful questions.

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