Developer Tools1 month ago
ContextIQ — AI Context Engineering Suite for AI Engineers
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
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21 projects
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
React library with 60+ scroll-driven section transitions for modern websites.
@itz_sayan_03 · X
Ever wondered how cinematic scroll-driven websites are built? 👀 Meet SectionFlow—an open-source React library with 60+ ready-to-use section transitions, a one-command CLI, reusable sections, and optimized performance. 🚀
Suite of developer tools for processing files locally — CSV, Parquet, JSON viewers and decoders with no cloud uploads.
u/sheshu29 · Reddit
My side project Hey everyone i have just created this website for developer who does not want to rely on ai agents so please visit and give me some feedback if you want any specific tools 🫠 submitted by /u/sheshu29 to r/SideProject [link] [comments]
Automate load testing for modern teams without complex setup or manual scripting.
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional
Write once, export to notebooks, slides, PDFs, PPTX, DOCX, or canvas.
@mr_wickedhacks · X
Write the doc once → get a notebook, slide deck, canvas, or resume from the same source. No rewriting for every format.
Cloud environment where coding agents run code, verify results, and submit pull requests.
@smehmood · X
Several customers of ours have factories shipping 100s of PRs to 1000s of B2B customers, built on But they all remind me of the pre-Claude-Code agents that had overly static workflows. Not sure what, yet, but something else is the future.
Save connections from X and LinkedIn with context to reconnect at the right time.
@aditya_founder · X
Monitor server uptime, SSL certificates, and service availability for your infrastructure.
@Robby_Seventeen · X
API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复
Browse interactive React and Next.js components, blocks, and Tailwind templates.
@Ksparth12 · X
Visual node-based programming environment for creating GPIO logic and MQTT workflows on ESP32 devices.
@NodeESP · X
- Project for sale
Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams