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Products that do what Dealing with Claude 3 XML function calling so you don't have to does
Hi all, our open-source Python library for fast, quality development with LLMs has added support for using Anthropic’s Claude 3 models and its XML function calling capabilities, including nested schemas and def/ref resolution. Example: https://github.com/Mirascope/mirascope/blob/main/examples/extracting_tasks_with_claude_haiku.py Repo: https://github.com/Mirascope/mirascope In the example we create a `TaskExtractor` class that can extract a fairly complex, nested `TaskDetails` schema. Haiku does a fantastic job extracting the…
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Anthropic announced today that starting June 15, paid Claude plans get a separate monthly credit pool for programmatic usage (claude -p, Agent SDK). Seems OK at first glance but it turns out the monthly credit pool is charged at API rates, which effectively kills any serious programmatic usage for hobbyists. This is a small Claude Code wrapper which runs claude in a PTY, injecting input, finding the session transcript jsonl file, and using a stop hook to determine when claude is done. It's a drop-in replacement for claude code. All arguments except the "-p" argument are forwarded as-is.…
May 2026 · github.com
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I built a collection of professional slash commands for Anthropic's Claude Code that provide structured workflows for common software development tasks. These commands are directly inspired by and adapted from Anthropic's own claude-code-best-practices (https://www.anthropic.com/engineering/claude-code-best-practices) documentation, translating their recommendations into executable workflows. The suite includes commands for: • Comprehensive code reviews with security and performance analysis • End-to-end feature development with planning, implementation, and testing •…
2025 · github.com
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Anthropic's usage analytics dashboard is only available to Team and Enterprise org admins. On a Pro or Max plan all you get is /usage and the claude.ai usage page, which show where you stand right now but not where you're heading. I looked at various open-source projects but none quite matched what I had in mind: an all-round control panel for Claude Code that's also a single binary, with no dependencies and no install steps. The other thing I cared about was forecasting the usage limits. Existing tools do burn-rate projections (ccusage) or percentile heuristics…
Jun 2026 · github.com
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The magic in AI coding assistants isn't the code -- it's the prompts. I studied the externally observable behavior of Claude Code and recreated it from scratch in Python with the exact same behaviors. It works with any model -- OpenAI, Gemini, Claude. What's surprising: 1. You can keep the core agent really simple, just 280 lines of Python. As long as it supports hooks, custom sub-agents and Model Context Protocol (MCP), then all the rest of the coding-assistant-specific behavior and tools can be factored out into a separate MCP server. 2. The magic is in the prompts (1200 lines of…
2025 · github.com
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Hey HN, Over the past 10 months I've been using Claude Code heavily, and one limitation kept coming up: you can really only run one coding agent at a time. While one agent is refactoring something, the rest of the repo is basically blocked unless you start manually juggling branches and working directories. The core issue is that AI coding agents operate directly in your filesystem. If two agents run in the same working directory they quickly start stepping on each other’s changes. Git worktrees turned out to be a surprisingly good primitive for solving this. So I built ChatML, a Desktop app…
Mar 2026 · github.com
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At Laminar (https://github.com/lmnr-ai/lmnr) we're building open source AI observability platform in Rust. We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk
Dec 2025 · laminar.sh
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Anthropic recently released a new model called Claude. As I was unable to access this model, I noticed a lot of discussions on Twitter regarding comparisons and use cases of Claude and ChatGPT. To keep track of these conversations, I created a repository that compiles information on the following topics: * Comparisons between Claude and ChatGPT * Use cases * Limitations of Claude Check it out and please create a bug/PR if more threads can be added: https://github.com/taranjeet/awesome-claude
2023
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I vibe-coded a terminal tool called Pluqqy (I had a dormant domain on hand) to help me keep LLM context organized while coding with AI. It’s my first time writing Go and my first terminal app, built almost entirely with Claude Code. • What it does: Pluqqy lets you manage prompts, rules, and context as small building blocks, then stitch them together into a single file (like AGENT.md or CLAUDE.md) that your coding agent can consume. It’s meant to reduce context drift and make iteration easier. • Why I built it: I was losing track of my agent context between sessions and wanted something…
Oct 2025 · github.com
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I've been using LLMs for long discovery and research chats (papers, repos, best practices), then distilling that into phased markdown (build plan + tests), then handing those phases to Codex/Claude to implement and test phase by phase. The annoying part was always the distillation and keeping docs and architecture current, so I built Unpack: a lightweight GitHub template plus docs structure and a few commands that turns conversations into phases/specs and keeps project docs up to date as the agent builds. It can also generate Mintlify-friendly end-user docs. There are other…
Feb 2026 · github.com
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2024 · repo-distillery.vercel.app
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I built Frame to better manage the projects I develop with Claude Code, to bring a standard to my Claude Code projects, to improve project and task planning, and to reduce context and memory loss. In its current state, Frame works entirely locally. You don’t need to enter any API keys or anything like that. You can run Claude Code directly using the terminal inside Frame. Why am I not using existing IDEs? Simply because, for me, I no longer need them. What I need is an interface centered around the terminal, not a code editor. I initially built something that allowed me to place terminals in…
Jan 2026
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Hi, I’ve been exploring Claude 3.5 code generation abilities for a while and it looks like it can generate more consistent code than other models. However it would still be unmaintainable if you ask it to write a lot of code and it still sucks at system design. So, I’ve been playing around the idea of using the code repository with a template for directory layout and infrastructure, then adding the repository information to Claude and asking it to generate code. It seems that it works, if I pass the structure of some OpenAPI based backend it can update the API definition and implementation…
2024 · github.com
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I built Claude‑CMD, an open-source command-line interface for working with Claude Code commands, configurations, and AI-driven workflows. It’s designed to help developers and PMs streamline how they interact with Claude Code in coding tasks, automation, and prompt management. Website: claudecmd.com Happy to answer questions or hear suggestions. You can also contribute your own commands to help improve the project. Contributions welcome!
2025 · github.com
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I was randomly browsing claude codes ralph wiggum plugin[1] and was surprised to see my toy project referenced. Since it appears people are getting some value out of it, thought I'd share it here... Full disclosure, this repo itself was built with a primitive ralph wiggum loop so expect AI slop. It works though. ¯\_(ツ)_/¯ https://mikeyobrien.github.io/ralph-orchestrator/ [1] https://github.com/anthropics/claude-code/tree/main/plugins/...
Dec 2025 · github.com
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I’ve been exploring LLM-driven developer workflows and built a demo where Claude Code acts like a Replit-style frontend for infrastructure. - You write a prompt in Claude - Claude generates a workload spec - Humanitec receives the spec and deterministically deploys infra to GCP (via Terraform) - App is up in under 1 minute — no pipelines, no DevOps tickets The backend is policy-enforcing and built for enterprise use cases (used by large orgs like Apple, ABB, etc.), but the flow feels like magic for devs or agents. demo: https://www.youtube.com/watch?v=jvx9CgBSgG0 Repo:…
Oct 2025
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I built a Claude Code skill called crabby that makes Claude output diagnostics in rustc error format - severity codes, location arrows, causation spans, and a paste-able fix every time. The twist: Claude becomes Ferris the crab, grumpy and unimpressed, but technically precise. The format works for code review, writing review, architecture, strategy - anything you submit. The "writing review" example tends to surprise people: it flags passive voice in a postmortem with the exact same error[W002] format as a SQL injection. https://github.com/ekadetov/crabby
Apr 2026
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hey guys, i wanted to show one of my side projects. The idea is a coding harness (independent of models) natively designed for C/C++ developer workflows. I'm a C++ dev and do not find claude code work well with C++ toolchain like gdb and perf. The current version has integrations for gdb, clang-tidy, cppcheck, sanitizers, perf, benchmarking, compile DB navigation, Godbolt, symbolization, binary inspection, and decompilation. It supports Anthropic, OpenAI, Gemini, and self-hosted models. There are editor workflows for VS Code, CLion, emacs, neovim, and cursor.
Jul 2026 · byteask.ai
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I've been running Claude agents for various automation tasks — monitoring crypto news, syncing Todoist, running health checks — and I kept hitting the same problem: there's no clean way to deploy an agent that just runs on a schedule without a human babysitting it. Every agent framework I looked at was built around chat interfaces or one-shot workflows. I wanted something closer to cron for AI agents — define a task, give it a schedule, let it run forever. So I built Ductwork. You define tasks as simple JSON files — a prompt, a schedule, optional memory and skills — and ductwork handles…
Mar 2026 · github.com
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