Alternatives
Products that do what PEAKSPEC does
Live cohort where PMs build with Claude Code
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Turn feature ideas into stakeholder-ready code prototypes
Mar 2026
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I've been working on this internal project initially both to learn more Vibe-Coding but also to help our teams and projects to use AI more efficiently. As more people used it, it grew to support multiple teams/projects to analyze their Claude Code conversation and optimize them over time (understanding how to write better conversation with Claude Code and share knowledge between them) With time we added support for multiple Claude account management and monitor usage/rate limit. This is a simple project but has proved to be quite useful for our company. We have reached 5000+…
2025 · github.com
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Hi Hacker News! I’m Ritam, working with the small but mighty team at Nori. We’ve been obsessed in recent months with how to take tools like Claude Code from “I’ll experiment around with this” to “This is the most useful and necessary thing I use every day”. When I first sat down with our team to check out what they’d built, I found my skepticism about agentic coding melting away—they’d built useful, high quality, handwritten skills, instructions that functioned as “skillsets” to tie skills together for consistent and replicable results, and tooling to manage loading the right context for the…
Jan 2026 · noriskillsets.dev
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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've been experimenting with ways to increase AI adoption for non-technical people. Basically, all companies are pushing for AI because it's all over the news and they feel left behind but most people have no clue where to start. I think 90% of people (ie non coders) are sufficiently well served by using cowork instead of claude code or something similar. If we can get people from sales, customer support, marketing, etc to collaborate with skills and cowork to form a company brain, I think it's gold. So I think there's opportunity for the community to share skills that work well for 1000s of…
Jun 2026 · claudinho.xyz
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The kit that makes vibecoding produce real code.
19d ago · darkbeandev.gumroad.com
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I built an MCP server that connects coding agents (Claude Code, Cursor, OpenCode, Codex) to a collaborative workspace where your team and other AI models can review what the agent is planning. The problem: When Claude Code creates an implementation plan, it lives in your terminal session. Nobody else sees it until it becomes a PR. If you want GPT to check the architecture or a teammate to flag issues, you're copy-pasting between windows. This MCP server fixes that. When your agent creates a plan, it gets shared as a collaborative thread in CoChat. Engineers comment on it, other AI models…
Feb 2026 · github.com
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Obsidian plugin that connects to CLI agents you already have installed. No built-in LLM integration, no API keys to configure in the plugin. It spawns your tool as a child process, pipes vault context into each prompt, and streams responses into a chat panel. Supports Claude Code, Opencode, and any custom binary via a generic adapter. Adding a new agent is a single file. Free, proudly Open Source (MIT licensed). Would love feedback on this for anyone that that tries it out.
Mar 2026 · github.com
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VibeSolve is an open-source tool that turns a plain-English description of an optimisation problem into Timefold code. Mathematical optimisation is a branch of mathematics and computer science that searches for the minimum/maximum of objective functions, and has applications in transport, logistics, scheduling etc. We are exploring where LLMs can add value in optimisation algorithm development, and where they get in the way. Right now, it works well for rapid prototyping. It does not create production-ready code and requires technical skills to use. It is noticeably better at creating…
Jun 2026 · vibesolve.ai
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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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We're releasing the next-gen Ralph Wiggum architecture - agent clusters with independent validator agents with clear rejection mandates. As long as the code is not feature-complete and production-grade, it will not be approved. The result is AI without any need for babysittng.
Jan 2026 · github.com
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