Posts

Show HN: Chaos Monkey but for Audio Video Testing (WebRTC and UDP) https://ift.tt/301mF5t

Show HN: Chaos Monkey but for Audio Video Testing (WebRTC and UDP) It takes an input video and converts it into H.264/Opus RTP streams that you can blast at your video call systems (WebRTC, SFUs, etc.). It also injects network chaos like packet loss, jitter, and bitrate throttling to see how things break It scales from 1 to n participants, depending on the compute and memory of the host system Best part? It’s packaged with Nix, so it builds the same everywhere (Linux, macOS, ARM, x86). No dependency hell It supports both UDP (with a relay chain for Kubernetes) and WebRTC (with containerized TURN servers). Chaos spikes can be distributed evenly, randomly, or front/back-loaded for different test scenarios. To change this, just edit the values in a single config file https://ift.tt/Uw2STbi February 23, 2026 at 02:23PM

Show HN: Tag Promptless on any GitHub PR/Issue to get updated user-facing docs https://ift.tt/x5f2bQi

Show HN: Tag Promptless on any GitHub PR/Issue to get updated user-facing docs Hi HN! I'm Prithvi—my co-founder Frances and I launched Promptless almost a year ago here ( https://ift.tt/nU8WO9A ). It's an AI teammate that watches your workflows—code changes, support tickets, Slack threads, etc.—and automatically drafts doc updates when it spots something that should be documented. Frances and I really appreciated the feedback from our first launch. Today we’re launching Promptless 1.0, which addresses our biggest learnings from the last 12 months. I also made it way easier to try it out. You can tag @promptless on any open-source Github PR or Issue with a doc update request, and Promptless will create a fork and open a PR for your docs to help. Feel free to use our own docs as a playground: https://ift.tt/WlgcxIS Or, you can sign up at https://promptless.ai to get free access for your own docs for the next 30 days. Here's a demo video: https://youtu.be/IWwimHCEY7Y For me, t...

Show HN: BVisor – An Embedded Bash Sandbox, 2ms Boot, Written in Zig https://ift.tt/NZbo7jR

Show HN: BVisor – An Embedded Bash Sandbox, 2ms Boot, Written in Zig bVisor is an SDK and runtime for safely executing bash commands directly on your host machine. We built it on the belief that "sandbox" doesn't need to mean shipping off to remote sandbox products, or spinning up local VMs / containers. Sometimes, you just want to run that bash command locally. bVisor boots a sandbox from user-space without special permissions, powered by seccomp user notifier. This allows us to intercept syscalls from guest processes and selectively virtualize them to block privilege escalation, isolate process visibility, and keep filesystem changes isolated per sandbox (copy-on-write). Sandboxes boot in 2ms, and can run arbitrary binaries at native speed (with minor overhead per syscall). This approach is heavily inspired by Google's gVisor. As of today, bVisor supports most filesystem operations, basic file I/O, and can run complex binaries such as python interpreters. It is pack...

Show HN: Unlock the best engineering knowledge in papers for your coding agent https://ift.tt/i9k5NDY

Show HN: Unlock the best engineering knowledge in papers for your coding agent https://ift.tt/IBOhR8E February 23, 2026 at 11:03PM

Show HN: AgentDbg - local-first debugger for AI agents (timeline, loops, etc.) https://ift.tt/zdm2lvS

Show HN: AgentDbg - local-first debugger for AI agents (timeline, loops, etc.) AgentDbg is a local-first debugger for AI agents. It records structured runs (LLM calls, tool calls, state, errors) to JSONL and shows the timeline UI locally. There is no need for cloud, accounts, and no telemetry. Flow is as simple as: 1. Run an agent 2. `agentdbg view` 3. Inspect the timeline, loop warnings, errors, etc. v0.1 includes `@trace` and `traced_run`, recorders, loop detection, best-effort redaction (by default), local UI, export. I also started working on integrations: there is an optional LangChain/LangGraph callback. * Repo: https://ift.tt/wHBkQfM * Demo: `python examples/demo/pure_python` and then `agentdbg view` Would love feedback on: 1. Trace format 2. Integrations to prioritize in the next several days 3. What you would want for deterministic replay https://ift.tt/wHBkQfM February 23, 2026 at 11:14PM

Show HN: Saga – SQLite project tracker for AI coding agents https://ift.tt/E6Z7t2c

Show HN: Saga – SQLite project tracker for AI coding agents https://ift.tt/u0Ez87c February 23, 2026 at 12:19AM

Show HN: Mujoco React https://ift.tt/SKxrJ8w

Show HN: Mujoco React MuJoCo physics simulation in the browser using React. This is made possible by DeepMind's mujoco-wasm (mujoco-js), which compiles MuJoCo to WebAssembly. We wrap it with React Three Fiber so you can load any MuJoCo model, step physics, and write controllers as React components, all running client-side in the browser https://ift.tt/Krt62Tb February 22, 2026 at 11:59PM