
AskCodi - AI Coding Assistant, Multi-Model Chat & Developer Tools | AskCodi
AskCodi 多模型 AI 代码助手,支持代码生成、重构和智能代理编排。
shreyans_assistiv · Product Hunt
AskCodi Orchestrate agents at scale while reducing cost
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AskCodi 多模型 AI 代码助手,支持代码生成、重构和智能代理编排。
shreyans_assistiv · Product Hunt
AskCodi Orchestrate agents at scale while reducing cost

将自主编码代理部署到代码库,支持多模型路由。
@LeeLeepenkman · X
nice im working on lots of AI stuff so right now :)

为AI编码代理提供共享记忆,存储团队发现和产品知识。
snakaya · HN
Vibsync – One Shared Memory for Claude Code, Cursor and Codex (MCP)

上传本地化文件,获得游戏类型和语气感知的AI翻译。
@polycontext · X
Context-aware localization for apps, games, and software.

AI-powered coding agent template supporting Claude Code, OpenAI Codex CLI, Cursor CLI, and opencode with Vercel Sandbox
@RudyNTech · X
Had a good chat with @AmirKodro, founder of vibe coding tool about how I'm a bit surprised we don't yet have something of a traditional business org chart with silo'd AI agent "employees". Lo and behold, today I come across @coderblock, which does exactly that! What do you think @AmirKodro?

使用本地AI模型在浏览器中重排PDF。
ldenoue · HN
Show HN: PDF reflow in the browser with local AI model

检测您的PC硬件并找出可在本地运行的开源AI模型。
aamir_zahran · Product Hunt
Ai Can Run Check which AI models your PC can actually run — no installs

对比和评估 AI 模型在编码、推理、代理和其他基准测试中的表现。
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

Mount what your model was never trained on. Unmount it when you're done. Sealed, signed, measured knowledge packs for local models.
@developerpranab · X
YantrikDB: mountable knowledge for local models. A 4B scores 7/53 on the MCP spec published this week; 42/53 with the pack mounted. No retraining.

用于并行运行 AI 编码 agent 的网页终端多路复用器
04mg · Product Hunt
Caw Open source web terminal multiplexer for AI agents

在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •

从手机排队编程任务、审查代码变更并控制VS Code和Cursor。
@WilliamQubits · X
vibe coded a feature from my phone on a walk. Cursor picked it up at home before I even sat down. no desk required 🛠️ #ChatView