Show HN: DRYwall – Claude Code plugin to to deduplicate code with jscpd https://ift.tt/CdvcesM

Show HN: DRYwall – Claude Code plugin to to deduplicate code with jscpd Motivated by the observation that coding agents such as Claude Code have a bias towards producing new code over reusing existing code or extracting common code. The resulting creeping code duplication weighs down AI-native codebases. The plugin makes ongoing deduplication quick and easy from within Claude Code. Because DRYwall detects code duplication using a deterministic toolchain (the awesome jscpd), it's significantly more effective and cheaper in tokens than just telling an agent to find and refactor duplication. https://ift.tt/C4puZ5h February 25, 2026 at 11:13PM

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

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/L9I3mUs February 23, 2026 at 02:23PM

Show HN: Tag Promptless on any GitHub PR/Issue to get updated user-facing docs https://ift.tt/PZqth8w

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/6bagnOV ). 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/Q0UAJ49 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, the coolest part of the last year has been seeing how users got creative with Promptless. One user has Promptless listening in to all their Slack Connect channels, so whenever they answer a customer question, Promptless figures out if their docs should be updated and drafts an update if so. Another user has Promptless processing every customer meeting transcript and updating their internal docs after each meeting: customer dashboards, feature request pages, etc. Some of the biggest things that are new with version 1.0: - Automatically updating screenshots: this was by far our most requested feature. The need here was always clear. People would exclude screenshots from docs because they’d get stale quickly, even though they knew screenshots would be helpful to users . A year ago, we just couldn't ship a good enough solution, but given how much LLMs' visual grounding has improved in the last year, now we've got something we're proud of. - Slop-free writing: The most common critique on early Promptless suggestions was that even though they were accurate, they could sound generic or verbose, or might just reek of AI slop. Promptless 1.0 is 3.5x better at this (measured by voice-alignment compared to what users actually published), through a combination of fine-tuned models, sub-agents, and alignment on user-defined preferences. - Open-source program: We're especially proud of this—Promptless is now free for CNCF/Linux Foundation projects (reach out if you’re a maintainer!). You can take a look at how Promptless is supporting Vitess (a CNCF-graduated project) with their docs here: https://ift.tt/W5udsp0 Check it out and let us know if you have any questions, feedback, or criticism! February 24, 2026 at 11:31PM

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

Show HN: Unlock the best engineering knowledge in papers for your coding agent https://ift.tt/n6iFlu0 February 23, 2026 at 11:03PM

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

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/yhHd5cL * 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/yhHd5cL February 23, 2026 at 11:14PM

Show HN: Saga – SQLite project tracker for AI coding agents https://ift.tt/OuTxX79

Show HN: Saga – SQLite project tracker for AI coding agents https://ift.tt/Sdt9acg February 23, 2026 at 12:19AM

Show HN: Rendering 18,000 videos in real-time with Python https://ift.tt/WuCNpfh

Show HN: Rendering 18,000 videos in real-time with Python https://ift.tt/mGPjidF February 22, 2026 at 09:16PM