🛠️ All DevTools

[IDE/Editor] Efrit: A native elisp coding agent running in Emacs

[Other] Show HN: Selfhostllm.org – Plan GPU capacity for self-hosting LLMs A simple calculator that estimates how many concurrent requests your GPU can handle for a given LLM, with shareable results.

[Code Quality] Byte Buddy is a code generation and manipulation library for Java

[Other] Show HN: BaaS to build agents as data, not code Agents and workflows as data instead of code.<p>Julep is a backend-as-a-service to build agents and workflows. Main features:<p>1. Experimentation Velocity:<p>With most agent frameworks, agents are code that need to be deployed. To iterate on the prompts or update the agent, you need to make changes to the code and deploy it to your server. This makes agents hard to iterate on quickly. But with agents and tasks declared as data, all that happens in the background is make an api call to update or make a new entry in the database. This increases the experimentation velocity.<p>2. Scalability and long-running background tasks:<p>Scaling is a hard software engineering problem and the solution is to define large scale systems to be distributed, stateful and scalable. Agents as data is a very helpful paradigm because you have to solve for this problem only once at the orchestrator level. Julep can handle 100s of thousands of executions paralely.<p>3. Updating an agent &#x2F; User Personalization:<p>Tools such as create agent, update agent etc. can update the agent recursively. Let’s assume an agent is chatting with a user and mentions that they only like to communicate in a professional tone. The agent can call a tool to &#x27;update the agent&#x27; and modify&#x2F;update the instructions to include that the user only likes to communicate in a professional tone.<p>This was the reason to create a backend when the market was flooded with agent frameworks. In Julep, you can declare a workflow in YAML, and it can automatically scale Millions of users.

[Other] Open SWE: An open-source asynchronous coding agent <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=TaYVvXbOs8c" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=TaYVvXbOs8c</a><p><a href="https:&#x2F;&#x2F;github.com&#x2F;langchain-ai&#x2F;open-swe" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;langchain-ai&#x2F;open-swe</a>

[Other] Docker for Developers: Essential Commands in One Cheatsheet

[Other] Show HN: Synchrotron, a real-time DSP engine in pure Python Yes, Python.<p>I can already hear the screams from the rafters telling me how terrible of a choice Python is - but in my case, I valued modularity, extensibility, <i>hackability</i> over raw performance. (It was also a challenge to myself to see how far I can get without referencing existing implementations)<p>Synchrotron processes nodes: simple Python classes with typed I&#x2F;O and a render() method for processing. It can be as concise as 5 lines:<p><pre><code> class IncrementNode(Node): input: StreamInput output: StreamOutput def render(self, ctx): self.out.write(self.a.read(ctx) + 1) </code></pre> Nodes can then be spawned and linked programmatically or in the graphical editor. Synchrotron handles the rest at runtime. Besides the web UI, you can also interact with the engine via Python, REST, DSL, or standalone TUI.<p>Currently you can build synths, FX chains, MIDI instruments, arpeggiators, controllers, or just mess about with sound :&gt;<p>Editor: <a href="https:&#x2F;&#x2F;synchrotron.thatother.dev&#x2F;" rel="nofollow">https:&#x2F;&#x2F;synchrotron.thatother.dev&#x2F;</a> Source: <a href="https:&#x2F;&#x2F;github.com&#x2F;ThatOtherAndrew&#x2F;Synchrotron" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ThatOtherAndrew&#x2F;Synchrotron</a><p>It&#x27;s still experimental (and my first ever shipped project), but I&#x27;d love feedback from people who tinker with audio&#x2F;DSP&#x2F;live coding. Docs are terrible currently, but that&#x27;s my next big goal!

[API/SDK] The official Python library for the OpenAI API

[Other] Backstage is an open framework for building developer portals

[API/SDK] An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

[CLI Tool] Lightweight coding agent that runs in your terminal

[Other] Show HN: I built a service to run Claude Code in the Cloud

[Other] AI-Powered HDL Code Creation & Validation. RTL Forge is your AI co-pilot for hardware design. It generates synthesizable Verilog/VHDL from natural language, auto-fixes code errors, offers visual block design, explains complex HDL, and performs smart verification to accelerate your development.

[Other] Smart links for iOS, Web & Android Create smart links that automatically redirect users to the right destination based on their device or browser. Perfect for app developers and marketers. Unlimited links, with basic analytics, for free.

[Other] A MCP Server to mcpfy your world. MCPFier transforms any command, script, or tool into a standardized MCP (Model Context Protocol) server that LLMs can use seamlessly. Think "GitHub Actions for MCP" - quickly integrate what you have today on what you want to do tomorrow

[Other] The open source cms for supabase Build production-grade applications with a CMS connected to supabase Postgres database, Authentication, Storage. Start for free.

[Other] Advanced Elementor form extender Cool FormKit extends Elementor forms with advanced features like conditional logic, country code & more + provides a form builder for Elementor Free users.

[IDE/Editor] IDE for Claude Code 🧠 A prompt-first IDE built for Claude Code power users. Run parallel sessions with full MCP support, set checkpoints to branch or resume instantly, and work like tmux but smarter. Built to supercharge your workflow and unlock true 100x developer velocity.

[Other] Plupro PLUPro is a simple tool for utilizing universal produce PLU codes. Being able to create, inventory, and share lists of PLU codes and UPC codes can be helpful to frontline grocery store workers or other professions which utilize PLUs.

[Other] Calculate the GPU memory you need for LLM inference Calculate GPU memory requirements and max concurrent requests for self-hosted LLM inference. Support for Llama, Qwen, DeepSeek, Mistral and more. Plan your AI infrastructure efficiently.