🛠️ All DevTools

[Other] C extensions, portability, and alternative compilers

[Other] Show HN: Volt – front end tooling for Phoenix that runs inside the BEAM

[Other] In-Browser Container Builds

[Other] The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

[Other] Cate v1.0 is out: The Infinite canvas workspace for developers

[Other] Rapira (Рапира) – Soviet programming language interpreter

[Other] Show HN: Geomatic – a command-driven geometry studio enabled with autodiff All commands have the format `output = \func inputs` or just `\function inputs`. Points and scalars are built on the fly. Eg `\line a b` to an empty canvas creates points `a` and `b`, and joins them with a line.<p>One can use broadcasting semantics similar to NumPy and PyTorch in a visual setting (imagine creating a list of circles where one dim corresponds to radius and another to the center). One can also use backpropagation, run gradient descent or visualize vector fields. Almost everything is reactive so changing a variable updates all of the downstream geometry. It also allows anyone to write and load their own visualization, which can be broadcasted and differentiated through.

[Other] Defeating Git Rigour Fatigue with Jujutsu

[Other] DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost Related ongoing thread:<p><i>DeepSeek makes the V4 Pro price discount permanent</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=48237663">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=48237663</a> - May 2026 (384 comments)

[Other] Constraint Decay: The Fragility of LLM Agents in Back End Code Generation

[Other] AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI libraries, Slack bot, vLLM pods

[CLI Tool] Show HN: Kanban CLI (A local-first, agent-first task manager for the terminal) Hello HN,<p>Ever since agents have become increasingly common in development, I&#x27;ve been scratching my head as to how to control their randomness. Recently, I decided to emulate an issue-tracking and project-management tool for agent-driven workflows.<p>Kanban is a Rust-based coordination layer designed to provide a feature-rich terminal interface and enforce rigorous workflows. It aims to be versatile and extendable, made to be tailored to any preferred flow. It comes with full git integration and guardrails such that only what truly benefits a project can go through.<p>The workflow boils down to 4 steps:<p>1. The model reads the skill to contextualize the requirements<p>2. It authenticates and receives a strict, schema-validated JSON payload outlining exact files, context, and acceptance criteria<p>3. Implementation is performed within an automatically isolated Git worktree and branch. The tool tracks progress (e.g., verifying all files were edited) before the task is submitted for review<p>4. A reviewer (preferably a human) evaluates the submission and manually transitions the task to &quot;Done,&quot; which triggers the final merge and cleans up the task-specific environment.<p>The tool significantly decreases the agent development time, while increasing the human planning phase.<p>There is more to it than I can cover here, so I&#x27;d be happy to answer any questions about the architecture, the workflow, or the insights I gained while using it. For more information, I recommend skimming the README, which acts as an index to all documentation files.<p>Repo: <a href="https:&#x2F;&#x2F;codeberg.org&#x2F;hydrafog&#x2F;kanban" rel="nofollow">https:&#x2F;&#x2F;codeberg.org&#x2F;hydrafog&#x2F;kanban</a>

[Other] Mastering Dyalog APL

[Other] Microsoft open-sources "the earliest DOS source code discovered to date" <a href="https:&#x2F;&#x2F;opensource.microsoft.com&#x2F;blog&#x2F;2026&#x2F;04&#x2F;28&#x2F;continuing-the-story-of-early-dos-development&#x2F;" rel="nofollow">https:&#x2F;&#x2F;opensource.microsoft.com&#x2F;blog&#x2F;2026&#x2F;04&#x2F;28&#x2F;continuing-...</a>

[API/SDK] API proposed by Chrome: Declarative partial updates

[Other] Reverse engineering circuitry in a Spacelab computer from 1980

[Other] z386: An Open-Source 80386 Built Around Original Microcode

[Other] 80386 Microcode Disassembled

[Other] 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0

[Other] Electrobun 2.0 will be decoupled from Bun due to the Rust rewrite <a href="https:&#x2F;&#x2F;xcancel.com&#x2F;YoavCodes&#x2F;status&#x2F;2058064720553222567" rel="nofollow">https:&#x2F;&#x2F;xcancel.com&#x2F;YoavCodes&#x2F;status&#x2F;2058064720553222567</a>