
openstem — code skills that finally stick
通过AI辅导、闪卡和测验学习代码技能,基于记忆科学设计。
@mkappworks · X
I am building lets connect
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通过AI辅导、闪卡和测验学习代码技能,基于记忆科学设计。
@mkappworks · X
I am building lets connect


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)

对比 AI 模型在编码任务上的表现,支持成本追踪和 ELO 排名。
@intheworldofai · X
On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.

多语言代码学习助手,可在浏览器中直接编写和执行代码。
@francis7_a · X
Building - learning tools for devs and student. happy to connect.

使用AI驱动的vibe编码构建应用程序。
@Craftapp_AI · X
Six Capabilities a Real Vibe Coding Platform Must Have, Or You're Wasting Time and Money Building a demo is easy. Building a real product is where platforms fall apart. Watch the full video on YouTube: Build with CraftApp today:

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

Manju - 与多个AI模型聊天,进行深度研究和编码任务。
@Shekar77hima · X
run deepresearch, coding agents for free.

统一代码协助、交易工具和团队协作功能的AI驱动平台。
@ThrillStack · X

对比不同Agent Harness策略的成本,基于缓存和上下文计费。
taosx · HN
I created a simulation for coding harnesses based on my own pi sessions. When taking into account all factors, DS-v4-Pro is cheaper than gpt-5.6-luna due to caching. Look at the bill segments difference for cache read cost and uncached cost between deepseek and the other models. At this point is cheaper to use ds-v4-pro than the luna models from openai. ignore the numbers except the classic and keep in mind that classic is based on pi with the only change limiting tool output to 10kb https://har

用于在 git worktrees 中并行运行多个 AI coding agents 的桌面应用
vuphanse

MCP协议任务队列,让AI编码代理请求和完成工作。
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP