Show HN: List of Clojure-Like projects https://ift.tt/DlWPnfK

Show HN: List of Clojure-Like projects https://ift.tt/H5V6Axu August 2, 2025 at 01:47AM

Show HN: Tambo – a tool for building generative UI React apps with tools/MCP https://ift.tt/08CUQgc

Show HN: Tambo – a tool for building generative UI React apps with tools/MCP Hey! We're working on a React SDK + API to make it simple to build apps with natural language interfaces, where AI can interact with the components on screen on behalf of the user. The basic setup is: Register your react components, tools, and MCP servers, and a way for users to send messages to Tambo, and let Tambo respond with text or components, calling tools when needed. Use it to build chat apps, copilots, or completely custom AI UX. The goal is to provide simple interfaces for common AI app features so we don't have to build them from scratch. Things like: - thread storage/management - streaming props into generated components - MCP and custom tool integration - passing component state to AI plus some pre-built UI components to get started. Would love feedback or contributions! https://ift.tt/f1nOSPU August 2, 2025 at 12:11AM

Show HN: TraceRoot – Open-Source Agentic Debugging for Distributed Services https://ift.tt/kocETx1

Show HN: TraceRoot – Open-Source Agentic Debugging for Distributed Services Hey Xinwei and Zecheng here, we are the authors of TraceRoot ( https://ift.tt/CLT1YU5 ). TraceRoot ( https://traceroot.ai ) is an open-source debugging platform that helps engineers fix production issues faster by combining structured traces, logs, source code contexts and discussions in Github PRs, issues and Slack channels, etc. with AI Agents. At the heart are our lightweight Python ( https://ift.tt/VfrhuLX ) and TypeScript ( https://ift.tt/6vyNGlh ) SDKs - they can hook into your app using OpenTelemetry and captures logs and traces. These are either sent to a local Jaeger ( https://ift.tt/zXiyMmK ) + SQLite backend or to our cloud backend, where we correlate them into a single view. From there, our custom agent takes over. The agent builds a heterogeneous execution tree that merges spans, logs, and GitHub context into one internal structure. This allows it to model the control and data flow of a request across services. It then uses LLMs to reason over this tree - pruning irrelevant branches, surfacing anomalous spans, and identifying likely root causes. You can ask questions like “what caused this timeout?” or “summarize the errors in these 3 spans”, and it can trace the failure back to a specific commit, summarize the chain of events, or even propose a fix via a draft PR. We also built a debugging UI that ties everything together - you explore traces visually, pick spans of interest, and get AI-assisted insights with full context: logs, timings, metadata, and surrounding code. Unlike most tools, TraceRoot stores long-term debugging history and builds structured context for each company - something we haven’t seen many others do in this space. What’s live today: - Python and TypeScript SDKs for structured logs and traces. - AI summaries, GitHub issue generation, and PR creation. - Debugging UI that ties everything together TraceRoot is MIT licensed and easy to self-host (via Docker). We support both local mode (Jaeger + SQLite) and cloud mode. Inspired by OSS projects like PostHog and Supabase - core is free, enterprise features like agent mode multi-tenant and slack integration are paid. If you find it interesting, you can see a demo video here: https://www.youtube.com/watch?v=nb-D3LM0sJM We’d love you to try TraceRoot ( https://traceroot.ai ) and share any feedback. If you're interested, our code is available here: https://ift.tt/CLT1YU5 . If we don’t have something, let us know and we’d be happy to build it for you. We look forward to your comments! https://ift.tt/CLT1YU5 August 1, 2025 at 10:28PM