Show HN: Vibe-budget – CLI to estimate LLM costs before you start vibe coding https://ift.tt/oEc5OVt

Show HN: Vibe-budget – CLI to estimate LLM costs before you start vibe coding I built vibe-budget because I kept burning tokens without knowing the cost upfront. You describe your project in plain English (or Spanish), and it detects the tasks involved, estimates token usage, and compares real-time prices across 85+ models via OpenRouter. Example: vibe-budget plan ecommerce with stripe oauth and supabase It detects 4 tasks, estimates ~497k tokens, and shows you the cheapest, best quality-price, and premium model options side by side. It also has a scan command — point it at an existing codebase and it estimates how many tokens it would cost to refactor or extend it with AI. No API key required. Prices are fetched live from OpenRouter with a 1-hour cache fallback. npm install -g vibe-budget Docs: https://gaboexe0.github.io/vibe-budget/ Repo: https://ift.tt/pO4bZkF https://ift.tt/QUkxHdK March 14, 2026 at 12:09AM

Show HN: Simple plugin to get Claude Code to listen to you https://ift.tt/YcHiXgw

Show HN: Simple plugin to get Claude Code to listen to you Hey HN, My cofounder and I have gotten tired of CC ignoring our markdown files so we spent 4 days and built a plugin that automatically steers CC based on our previous sessions. The problem is usually post plan-mode. What we've tried: Heavily use plan mode (works great) CLAUDE.md, AGENTS.md, MEMORY.md Local context folder (upkeep is a pain) Cursor rules (for Cursor) claude-mem (OSS) -> does session continuity, not steering We use fusion search to find your CC steering corrections. - user prompt embeddings + bm25 - correction embeddings + bm25 - time decay - target query embeddings - exclusions - metadata hard filters (such as files) The CC plugin: - Automatically captures memories/corrections without you having to remind CC - Automatically injects corrections without you having to remind CC to do it. The plugin will merge, update, and distill your memories, and then inject the highest relevant ones after each of your own prompts. We're not sure if we're alone in this. We're working on some benchmarks to see how effective context injection actually is in steering CC and we know we need to keep improving extraction, search, and add more integrations. We're passionate about the real-time and personalized context layer for agents. Giving Agents a way to understand what you mean when you say "this" or "that". Bringing the context of your world, into a secure, structured, real-time layer all your agents can access. Would appreciate feedback on how you guys get CC to actually follow your markdown files, understand your modus operandi, feedback on the plugin, or anything else about real-time memory and context. - Ankur https://www.gopeek.ai March 13, 2026 at 08:15PM

Show HN: Kube-pilot – AI engineer that lives in your Kubernetes cluster https://ift.tt/EWHlUNJ

Show HN: Kube-pilot – AI engineer that lives in your Kubernetes cluster I built kube-pilot — an autonomous AI agent that runs inside your Kubernetes cluster and does the full dev loop: writes code, builds containers, deploys services, verifies they're healthy, and closes the ticket. You file a GitHub issue, it does the rest. What makes this different from AI coding tools: kube-pilot doesn't just generate code and hand it back to you. It lives inside the cluster with direct access to the entire dev stack — git, Tekton (CI/CD), Kaniko (container builds), ArgoCD (GitOps deployments), kubectl, Vault. Every tool call produces observable state that feeds into the next decision. The cluster isn't just where code runs — it's where the agent thinks. The safety model: all persistent changes go through git, so everything is auditable and reversible. ArgoCD is the only thing that writes to the cluster. Secrets stay behind Vault — the agent creates ExternalSecret references, never touches raw credentials. Credentials are scrubbed before reaching the LLM. Live demo: I filed GitHub issues asking it to build a 4-service office suite (auth, docs API, notification worker, API gateway). It built and deployed all of them autonomously. You can see the full agent loop — code, builds, deploys, verification, comments — on the closed issues: - https://ift.tt/y205wlb... - https://ift.tt/nHaefMF... - https://ift.tt/tipPjlw... - https://ift.tt/Pd2S9rb... One helm install gives you everything — the agent, Gitea (git + registry), Tekton, ArgoCD, Vault, External Secrets. No external dependencies. Coming next: Slack and Jira integrations (receive tasks and post updates where your team already works), Prometheus metrics and Grafana dashboards for agent observability, and Alertmanager integration so firing alerts automatically become issues that kube-pilot investigates and fixes. Early proof of concept. Rough edges. But it works. https://ift.tt/9zWZfsv March 13, 2026 at 11:49PM

Show HN: Algorithms and Data Structures in TypeScript – Free Book (~400 Pages) https://ift.tt/uIxcKqa

Show HN: Algorithms and Data Structures in TypeScript – Free Book (~400 Pages) I started writing this book 10 years ago in JavaScript, got through a few chapters (asymptotic notation, basic techniques, start of sorting), and then abandoned it. Recently I picked it back up, converted everything to TypeScript, and used AI (Zenflow [1] + Claude Opus 4.6) to complete the remaining chapters. I provided the structure, direction, and initial chapters; the AI generated the bulk of the remaining content under a spec-driven workflow. The book covers roughly a first 1-2 year CS curriculum: sorting, dynamic programming, graph algorithms, trees, heaps, hash tables, and more. All code is executable, typed with generics/interfaces, and covered with tests. I've thoroughly reviewed several chapters (sorting, DP, graphs) and done a high-level pass on the rest. Currently in beta — corrections and contributions are welcome. MIT licensed. Inspired by Wirth's "Algorithms and Data Structures", SICP, and CLRS. Code and tests: https://ift.tt/q7NRrTC [1] https://ift.tt/PO9dRMh http://amoilanen.github.io/Algorithms-with-Typescript/ March 13, 2026 at 09:15AM

Show HN: What was the world listening to? Music charts, 20 countries (1940–2025) https://ift.tt/4IJt0o6

Show HN: What was the world listening to? Music charts, 20 countries (1940–2025) I built this because I wanted to know what people in Japan were listening to the year I was born. That question spiraled: how does a hit in Rome compare to what was charting in Lagos the same year? How did sonic flavors propagate as streaming made musical influence travel faster than ever? 88mph is a playable map of music history: 230 charts across 20 countries, spanning 8 decades (1940–2025). Every song is playable via YouTube or Spotify. It's open source and I'd love help expanding it — there's a link to contribute charts for new countries and years. The goal is to crowdsource a complete sonic atlas of the world. https://88mph.fm/ March 10, 2026 at 01:18PM

Show HN: Global Maritime Chokepoints https://ift.tt/9kETIc0

Show HN: Global Maritime Chokepoints https://ift.tt/j5u7pBv March 13, 2026 at 01:42AM

Show HN: I built a screen recorder with automatic zoom effects https://ift.tt/evMP1gV

Show HN: I built a screen recorder with automatic zoom effects https://rookieclip.com/ March 12, 2026 at 07:51AM