Reinventing how .NET builds and ships (again)
Hacker News (score: 13)Description
More from Hacker
Security vulnerability found in Rust Linux kernel code
Security vulnerability found in Rust Linux kernel code
Show HN: Wirebrowser – A JavaScript debugger with breakpoint-driven heap search
Show HN: Wirebrowser – A JavaScript debugger with breakpoint-driven heap search Hi HN!<p>I'm building a JavaScript debugger called Wirebrowser. It combines network inspection, request rewriting, heap snapshots, and live object search.<p>The main experimental feature is BDHS (Breakpoint-Driven Heap Search): it hooks into the JavaScript debugger and automatically captures a heap snapshot at every pause and performs a targeted search for the value or structure of interest. This reveals the moment a value appears in memory and the user-land function responsible for creating it.<p>Another interesting feature is the Live Object Search: it inspects runtime objects (not just snapshots), supports regex and object similarity, and lets you patch objects directly at runtime.<p>Whitepaper: <a href="https://fcavallarin.github.io/wirebrowser/BDHS-Origin-Trace" rel="nofollow">https://fcavallarin.github.io/wirebrowser/BDHS-Origin-Trace</a><p>Feedback very welcome, especially on whether BDHS would help your debugging workflow.
Show HN: Dograh – an OSS Vapi alternative to quickly build and test voice agents
Show HN: Dograh – an OSS Vapi alternative to quickly build and test voice agents Hi HN, I have been building voice agents for sometime now. I was earlier automating parts of visa processing, and we needed real-time, multilingual voice calling.<p>I assumed the hard work was just wiring LiveKit/Pipecat + STT/TTS + an LLM. It wasn’t.<p>Even with solid OSS (Pipecat/LiveKit), we still had to do a lot of plumbing- variable extraction, tracing, testing etc and any workflow changes required constant redeploys.<p>We eventually realized we’d spent more time building infrastructure than building the actual agents. Everything felt custom. We hit every possible pain with Pipecat and VAPI style systems.<p>So we built Dograh - a fully open-source voice agent framework that includes all the boring, painful pieces by default.<p>What’s different:<p>- Pipecat-based engine, but forked - custom event model, and concurrency fixes<p>- One-click start template generated by an LLM Agent for a quick get start template for any use case<p>- Drag-and-drop visual agent builder for quick iteration (the thing we wished existed earlier)<p>- Variable extraction layer (name/order/date/etc.) baked into the LLM loop<p>- Built in Telephony integration (Twilio/ Vonage/ Vobiz/ Cloudonix)<p>- Multilingual support end-to-end<p>- Select any LLM TTS STT (add their credits, if any)<p>- AI-to-AI call testing: automatically stress-test an agent before shipping (still a work in progress- so patchy as of now)<p>- Fully Open Source<p>It's built and maintained by YC alumni / exit founders who got tired of rebuilding the same plumbing.<p>Why we open-sourced it: We kept feeling that the space was drifting toward closed SaaS abstractions (VAPI, Retell). Those are good for demos, but once you need data controls, privacy or self/offline deployment, you end up stuck. We wanted a stack where you can see every part, fork it, self-host it, and patch it as needed.<p>Try it:<p>- Repo: <a href="https://github.com/dograh-hq/dograh" rel="nofollow">https://github.com/dograh-hq/dograh</a><p>This spins up a basic multilingual agent with everything pre-wired.<p>Who this is for:<p>- If you are looking for self hosting a Vapi like platform for Data Privacy etc.<p>- Anyone trying to build production-grade voice agents without reinventing audio plumbing.<p>- If you’ve tried to glue STT→LLM→TTS manually, you probably know the exact pain this is built for<p>Happy to answer technical questions, show the architecture, or hear how we can improve the product.
A ncurses-based command line torrent client for high performance
A ncurses-based command line torrent client for high performance
No other tools from this source yet.