🛠️ All DevTools

[API/SDK] Monetize your software with prompts Sentra is our AI Agent that integrates Billing & Payments by handling SDKs, APIs, Adapters, and plugs into your tech stack (Auth, DB etc). It extracts revenue insights such as growth drivers and takes customer actions like refunds, upgrades, and credits.

[Other] Web and Terminal agents that scan, fix, and ship secure code Gammacode is an Web and Agentic CLI for SMBs and Developers to ship secure code faster. AI agents scan repos for vulnerabilities, then auto-fix security issues, bugs, and tech debt in secure sandboxes and through github actions reducing risks by 50%.

[IDE/Editor] AI-powered load testing, right inside your IDE The Gatling AI Assistant for VS Code accelerates how developers create, explain, and optimize performance tests. Generate Gatling simulations in JavaScript, TypeScript, Scala, Java, or Kotlin, directly from your IDE. Understand and refine existing code with AI-powered insights. Stay in full control with a BYO-LLM model, supporting OpenAI, Anthropic Claude, and Azure OpenAI. Fast. Transparent. Developer-first.

[Other] Converters Free format conversion tools: JSON formatter and validator, CSV to JSON converter, XML to JSON, YAML to JSON, Base64 encoder/decoder, Markdown to HTML converter, and JWT decoder. Instant conversion with syntax highlighting and validation.

[Other] Git-native social networking GitSocial - decentralized open source social network built entirely on Git.

[Testing] Load, performance & stress testing LPS (Load, Performance & Stress) is an open-source tool that makes load testing simple, readable, and powerful. Define tests in YAML — no coding needed. Run distributed tests, monitor live dashboards, and simulate real traffic with smart iteration modes. Built by a Microsoft engineer with 13+ years in API Management & Security to make enterprise-grade testing accessible to everyone.

[Other] Lovable for internal apps and dashboards Fabrica connects to your internal databases and tooling and lets you build any kind of internal software (dashboards, apps, etc) by just chatting with AI.

[Other] NPM flooded with malicious packages downloaded more than 86k times

[Other] Independently verifying Go's reproducible builds

[Database] Show HN: SQLite Graph Ext – Graph database with Cypher queries (alpha) I&#x27;ve been working on adding graph database capabilities to SQLite with support for the Cypher query language. As of this week, both CREATE and MATCH operations work with full relationship support.<p>Here&#x27;s what it looks like:<p><pre><code> import sqlite3 conn = sqlite3.connect(&quot;:memory:&quot;) conn.load_extension(&quot;.&#x2F;libgraph.so&quot;) conn.execute(&quot;CREATE VIRTUAL TABLE graph USING graph()&quot;) # Create a social network conn.execute(&quot;&quot;&quot;SELECT cypher_execute(&#x27; CREATE (alice:Person {name: &quot;Alice&quot;, age: 30}), (bob:Person {name: &quot;Bob&quot;, age: 25}), (alice)-[:KNOWS {since: 2020}]-&gt;(bob) &#x27;)&quot;&quot;&quot;) # Query the graph with relationship patterns conn.execute(&quot;&quot;&quot;SELECT cypher_execute(&#x27; MATCH (a:Person)-[r:KNOWS]-&gt;(b:Person) WHERE a.age &gt; 25 RETURN a, r, b &#x27;)&quot;&quot;&quot;) </code></pre> The interesting part was building the complete execution pipeline - lexer, parser, logical planner, physical planner, and an iterator-based executor using the Volcano model. All in C99 with no dependencies beyond SQLite.<p>What works now: - Full CREATE: nodes, relationships, properties, chained patterns (70&#x2F;70 openCypher TCK tests) - MATCH with relationship patterns: (a)-[r:TYPE]-&gt;(b) with label and type filtering - WHERE clause: property comparisons on nodes (=, &gt;, &lt;, &gt;=, &lt;=, &lt;&gt;) - RETURN: basic projection with JSON serialization - Virtual table integration for mixing SQL and Cypher<p>Performance: - 340K nodes&#x2F;sec inserts (consistent to 1M nodes) - 390K edges&#x2F;sec for relationships - 180K nodes&#x2F;sec scans with WHERE filtering<p>Current limitations (alpha): - Only forward relationships (no `&lt;-[r]-` or bidirectional `-[r]-`) - No relationship property filtering in WHERE (e.g., `WHERE r.weight &gt; 5`) - No variable-length paths yet (e.g., `[r*1..3]`) - No aggregations, ORDER BY, property projection in RETURN - Must use double quotes for strings: {name: &quot;Alice&quot;} not {name: &#x27;Alice&#x27;}<p>This is alpha - API may change. But core graph query patterns work! The execution pipeline handles CREATE&#x2F;MATCH&#x2F;WHERE&#x2F;RETURN end-to-end.<p>Next up: bidirectional relationships, property projection, aggregations. Roadmap targets full Cypher support by Q1 2026.<p>Built as part of Agentflare AI, but it&#x27;s standalone and MIT licensed. Would love feedback on what to prioritize.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;agentflare-ai&#x2F;sqlite-graph" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;agentflare-ai&#x2F;sqlite-graph</a><p>Happy to answer questions about the implementation!

[Other] Encoding x86 Instructions

[Other] Show HN: GPU-Based Autorouting for KiCad This project began when I decided it would be easier to write an autorouter than route a 8000+ net backplane by hand.<p>This is a KiCad plugin with a few different algorithms, the coolest of which is a &#x27;Manhattan routing grid&#x27; autorouter that routes along orthogonal traces. The basic idea was to steal an algorithm from FPGA routing and apply it to PCBs. I&#x27;m using CuPy for speeding up the routing; CPU-bound is at least 10x slower than the GPU version.<p>This is in a very pre-alpha state, but it does _technically_ work. It&#x27;s not great by any measure but then again it is an autorouter.<p>I have a writeup with the how and why it was made: <a href="https:&#x2F;&#x2F;bbenchoff.github.io&#x2F;pages&#x2F;OrthoRoute.html" rel="nofollow">https:&#x2F;&#x2F;bbenchoff.github.io&#x2F;pages&#x2F;OrthoRoute.html</a><p>And a video showing it route a 512-net backplane in just over 2 minutes: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=KXxxNQPTagA" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=KXxxNQPTagA</a><p>This is very cool and one of the first good uses of the KiCad IPC API that was released a few months ago. If this sounds interesting and useful, PRs and issues welcome.

[Other] Show HN: Oblivious HTTP for Go I couldn&#x27;t find a suitable go implementation for Oblivious HTTP Client &amp; Gateway (RFC 9458). So, I&#x27;m open sourcing ours.<p>Some background: OHTTP is a protocol that hides who you are from the data you send - if you&#x27;ve ever used products of Apple, Mozilla, Fastly, or Cloudflare (to name a few) you probably used OHTTP.<p>Key Features:<p>- implemented as http.RoundTripper<p>- supports chunked transfer encoding<p>- customizable HPKE (e.g., for custom hardware-based encryption)<p>- built on top of twoway and bhttp libraries<p>Repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;confidentsecurity&#x2F;ohttp" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;confidentsecurity&#x2F;ohttp</a><p>Detail: <a href="https:&#x2F;&#x2F;blog.confident.security&#x2F;ohttp&#x2F;" rel="nofollow">https:&#x2F;&#x2F;blog.confident.security&#x2F;ohttp&#x2F;</a><p>Explainer: <a href="https:&#x2F;&#x2F;support.mozilla.org&#x2F;en-US&#x2F;kb&#x2F;ohttp-explained" rel="nofollow">https:&#x2F;&#x2F;support.mozilla.org&#x2F;en-US&#x2F;kb&#x2F;ohttp-explained</a><p>Specs: <a href="https:&#x2F;&#x2F;datatracker.ietf.org&#x2F;doc&#x2F;rfc9458&#x2F;" rel="nofollow">https:&#x2F;&#x2F;datatracker.ietf.org&#x2F;doc&#x2F;rfc9458&#x2F;</a> , <a href="https:&#x2F;&#x2F;datatracker.ietf.org&#x2F;doc&#x2F;draft-ietf-ohai-chunked-ohttp&#x2F;" rel="nofollow">https:&#x2F;&#x2F;datatracker.ietf.org&#x2F;doc&#x2F;draft-ietf-ohai-chunked-oht...</a><p>Feedback welcome!

[Other] 24 Lessons, 12 Weeks, Get Started as a Web Developer

[Other] SpiderMonkey Garbage Collector

[Testing] Instant compliant test data for engineering teams Test data bottlenecks kill velocity. Teams wait days for data refreshes or secretly use production. GoMask delivers instant, compliant test data through schema-aware masking and AI synthesis. Minutes, not days. Compliance built-in, not bolted on.

[IDE/Editor] AI code editor for PyTorch development on GPU workspaces The new AI Code Editor brings AI directly into Lightning Studios and Notebooks. Developers can tap into PyTorch-focused “experts” for training, inference, or RL tasks to build, debug, optimize, and deploy code faster inside a single cloud-native environment.

[Other] One workspace where AI, code, and teams work together AI workspace for teams and devs. It connects your code, tools, and teammates in one place — so you can build, refactor, and ship together without context-switching.

[Other] Assign, steer, and track copilot coding agent tasks GitHub Mission Control is a unified command center that follows you wherever you work. It’s not a single destination; it’s a consistent interface across GitHub, VS Code, mobile, and the CLI that lets you direct, monitor, and manage every AI-driven task. With mission control, you can choose from a fleet of agents, assign them work in parallel, and track their progress from any device.

[Other] Build full-stack apps with AI from Database first Zoer is an AI-powered platform that builds full-stack apps in minutes — complete with auto-generated database, authentication, responsive UI, and backend logic. Just describe your idea, and let AI handle the coding, structuring, and integration.