🛠️ All DevTools

[API/SDK] A SaaS platform that lets you create and host APIs instantly What you get • AI-assisted API code generation • Self-managed APIs with infrastructure fully configured • Scales automatically (deploy anywhere later if you want) • Admin UI for Product, Dev, and Platform/Ops teams • Clean-code templates using the Command pattern • Robust CLI to bootstrap features fast • SDKs for Web & Mobile • Monitoring, logs, metrics, auth, and versioning built-in

[API/SDK] The Documentation Layer for AI Agents (RAG in 1 Click) Developer Tools, Artificial Intelligence, API Stop scraping docs. CodeContext API gives your AI agents instant access to up-to-date documentation for 1000+ libraries (React, LangChain, Next.js). Prevent hallucinations and save 90% on tokens with optimized JSON responses.

[Other] Remove context rot + improve code search Introducing WarpGrep, a fast context subagent that improves coding agent performance. WarpGrep speeds up coding tasks 40% and reduces context rot by 70% on long horizon tasks by treating context retrieval as its own RL trained system. Inspired by Cognition’s SWE-Grep - we’re opening access to Claude Code, Codex, OpenCode or any coding agent via MCP (or through our SDK)

[Testing] Testing Co-Pilot for Backend Engineers Never manually write, or and maintain backend tests again! Kerno automates integration testing end-to-end inside your IDE. It understands your codebase, generates meaningful tests, spins up test environments, executes tests, and delivers instant audit reports to catch issues early, validate changes before committing your code. Use Kerno to: → Catch breaking changes at source → Augment current Code-Gen loops with test data → Audit AI generated code in real-time → Increase test coverage

[Other] Show HN: DataKit, your all in browser data studio is open source now Hey HN! I&#x27;m open-sourcing DataKit today.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;datakitpage&#x2F;datakit" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;datakitpage&#x2F;datakit</a> Live demo: <a href="https:&#x2F;&#x2F;datakit.page" rel="nofollow">https:&#x2F;&#x2F;datakit.page</a><p>DataKit is a browser-based data analysis platform that processes multi-gigabyte files (CSV, Parquet, JSON, Excel) entirely client-side using DuckDB-WASM. Your data never leaves your browser.<p>What it does: • Process large files (tested up to 20GB) without any server • Full SQL interface powered by DuckDB compiled to WebAssembly • Python notebooks via Pyodide for data science workflows • Connect to remote sources (PostgreSQL, MotherDuck, S3) with optional proxy • AI assistant that only sees column schemas, not actual data<p>I was done with having to choose between cloud tools and heavy local installations. I wanted something that just works in a browser tab but has real power.<p>It&#x27;s AGPL licensed with commercial licenses available for enterprises.<p>I&#x27;ve been building this solo as a side project for the past few months. Would love your feedback on: - Performance bottlenecks you encounter - Features you&#x27;d need for your workflows - The architecture decisions (all client-side vs hybrid)

[Database] Show HN: DuckDB for Kafka Stream Processing Hello Everyone! We built SQLFlow as a lightweight stream processing engine.<p>We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10&#x27;s of thousands of messages a second using ~250MiB of memory!<p>DuckDB also supports a rich ecosystem of sinks and connectors!<p><a href="https:&#x2F;&#x2F;sql-flow.com&#x2F;docs&#x2F;category&#x2F;tutorials&#x2F;" rel="nofollow">https:&#x2F;&#x2F;sql-flow.com&#x2F;docs&#x2F;category&#x2F;tutorials&#x2F;</a><p><a href="https:&#x2F;&#x2F;github.com&#x2F;turbolytics&#x2F;sql-flow" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;turbolytics&#x2F;sql-flow</a><p>We were tired of running JVM&#x27;s for simple stream processing, and also of bespoke one off stream processors<p>I would love your feedback, criticisms and&#x2F;or experiences!<p>Thank you

[Other] Show HN: Diesel-guard – Lint Diesel migrations for unsafe PostgreSQL patterns

[Other] AMD GPU Debugger

[Database] Show HN: LinkedQL – Live Queries over Postgres, MySQL, MariaDB LinkedQL is a new SQL client that supports live queries over any Postgres, MySQL, and MariaDB database. You get result sets that self-update differentially as rows change in your database – via inserts, updates, deletes. Works with no extra tooling&#x2F;ORM layer or GraphQL servers. You opt into live mode simply with a flag: client.query(&#x27;SELECT ...&#x27;, { live: true }). More at: <a href="https:&#x2F;&#x2F;linked-ql.netlify.app&#x2F;capabilities&#x2F;live-queries" rel="nofollow">https:&#x2F;&#x2F;linked-ql.netlify.app&#x2F;capabilities&#x2F;live-queries</a><p>LinkedQL is written in JavaScript and runs in both client and server environments.<p>GitHub + docs: <a href="https:&#x2F;&#x2F;github.com&#x2F;linked-db&#x2F;linked-ql" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;linked-db&#x2F;linked-ql</a><p>Demo examples included.<p>I’d love feedback: • Anything confusing? • Anything seems useful or dangerous? • Anything else that&#x27;d make you consider LinkedQL for production?<p>Thanks for taking a look — happy to answer any questions.

[Other] Show HN: I wrote a book – Debugging TypeScript Applications (in beta)

[Other] An open-source vibe coding platform that helps you build your own vibe-coding platform, built entirely on Cloudflare stack

[Other] Presentation Slides for Developers

[DevOps] 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&#x2F;Pipecat + STT&#x2F;TTS + an LLM. It wasn’t.<p>Even with solid OSS (Pipecat&#x2F;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&#x2F;order&#x2F;date&#x2F;etc.) baked into the LLM loop<p>- Built in Telephony integration (Twilio&#x2F; Vonage&#x2F; Vobiz&#x2F; 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&#x27;s built and maintained by YC alumni &#x2F; 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&#x2F;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:&#x2F;&#x2F;github.com&#x2F;dograh-hq&#x2F;dograh" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dograh-hq&#x2F;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.

[Other] GitHub Actions Has a Package Manager, and It Might Be the Worst

[Database] Dead-simple local vector database powered by sqlite-vec. The Chroma experience in a single SQLite file. SimpleVecDB brings zero-infrastructure vector search to local RAG apps, offline agents, and indie hackers. Built on sqlite-vec with ~2ms queries, 32x storage compression, hybrid BM25+vector search, and LangChain/LlamaIndex integrations. Just `pip install` and go—no Docker, no cloud bills, no Redis. Your vectors live in one portabledb file that runs anywhere Python runs.

[Other] Free online tools SmallToolsApp offers simple, fast and free online tools for developers — things like JSON formatting, CSV converters, text utilities and daily-use helpers. No ads, no login. A clean collection of lightweight tools built to save time — from text converters to developer utilities. Designed to stay minimal, quick and clutter-free

[Other] Show HN: Lockenv – Simple encrypted secrets storage for Git Hi!<p>I got tired of setting up tools I can&#x27;t explain to a team in a few words like sops or git-crypt, just to store few files with environment variables or secrets, so I built lockenv as a simple alternative.<p>It&#x27;s basically a password-protected vault file you commit to git. No gpg keys, no cloud, just lockenv init, set a password, and lock&#x2F;unlock the secrets.<p>This tool integrates with OS keyring, so you&#x27;re not typing passwords constantly. Should work on Mac&#x2F;Linux&#x2F;Windows, but I tested it only on linux so far.<p>I am not trying to replace any mature &#x2F; robust solution, just making small tool for simple cases, where I want to stop sharing secrets via slack.<p>Feel free to try, thank you!

[Other] Show HN: Cdecl-dump - represent C declarations visually A small tool that parses C declarations and outputs a simple visual representation at each stage, as it encounters arrays, pointers or functions.<p>The program uses a table-driven lexer and a hand-written, shift-reduce parser. No external dependencies apart from the standard library.

[DevOps] Show HN: Minimal container-like sandbox built from scratch in C Runbox recreates core container features without relying on existing runtimes or external libraries. It uses namespaces, cgroups v2, and seccomp to create an isolated process environment, with a simple shell for interaction. For future gonna work on adding an interface so external applications can be executed inside Runbox, similar to containers.<p>Github: <a href="https:&#x2F;&#x2F;github.com&#x2F;Sahilb315&#x2F;runbox" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;Sahilb315&#x2F;runbox</a><p>Happy to hear feedback or suggestions.

[Database] DB editor A powerful and versatile Database Grid Editor for Windows. Support for MySQL, MongoDB, Redis, ClickHouse, and more.