AI · alternatives · 2026
24 alternatives to Badge that shows how well your codebase fits in an LLM's context window
Small codebases were always a good thing. With coding agents, there's now a huge advantage to having a codebase small enough that an agent can hold the full thing in context. Repo Tokens is a GitHub Action that counts your codebase's size in tokens (using tiktoken) and updates a badge in your README. The badge color reflects what percentage of an LLM's context window the codebase fills: green for under 30%, yellow for 50-70%, red for 70%+. Context window size is configurable and defaults to 200k (size of Claude models). It's a composite action. Installs tiktoken, runs ~60 lines of inline…
Repo Tokens is a GitHub Action that measures how many tokens your codebase contains using tiktoken and displays the result as a colored badge in your README. The badge shows green if the codebase fits in under 30% of… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Repo Prompt▲280Automate assembling the perfect context for your project
Jan 2026 · repoprompt.com · its alternatives →
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Context Gateway▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…
Mar 2026 · github.com · its alternatives →
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Increase LLM visibility, signups and activated users
Nov 2025 · nakora.ai · its alternatives →
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GitGuessr▲98I built this game as a playful way to train code reading skills. You're dropped into a random location in a real GitHub repo where some lines code are hidden. The goal is to pick up clues from the surrounding code and fill in the missing lines as quickly as possible. It currently has curated game content for Python, TypeScript, JavaScript (by most metrics the top 3 languages on GitHub). I had the idea when it dawned on me that reviewing and understanding code spat out by an LLM is a key skill for the AI era. (I sincerely hope you're critically reviewing what your favorite LLM is serving…
Feb 2026 · gitguessr.com · its alternatives →
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badges for your badges. Contribute to defunctzombie/badginator development by creating an account on GitHub.
2016 · github.com · its alternatives →
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I've created uithub, a tool that allows developers to easily get LLM context for their coding questions and perform AI repo analysis at scale. Here's what it does: - Get Context: Simply change the 'g' in github.com to 'u' to access AI-powered insights on any GitHub repo. - Flexible Querying: Fetch entire repos, specific branches/subfolders, or filter by file type and size. - API for Developers: Power the next generation of development tools with our API. Key features: - Customizable token limits - File type filtering - Multiple response formats - Size-based file exclusion I built this…
2024 · uithub.com · its alternatives →
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I've been building a tool that changes how LLM coding agents explore codebases, and I wanted to share it along with some early observations. Typically claude code globs directories, greps for patterns, and reads files with minimal guidance. It works in kind of the same way you'd learn to navigate a city by walking every street. You'll eventually build a mental map, but claude never does - at least not any that persists across different contexts. The Recursive Language Models paper from Zhang, Kraska, and Khattab at MIT CSAIL introduced a cleaner framing. Instead of cramming everything into…
Feb 2026 · github.com · its alternatives →
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Howdy all. I'm Zack :wave:. I've been thinking about the problem of misguided AI pull requests and figured I'd throw a possible solution out there for feedback. Basically, CleverCrow lets supporters give tokens to a GitHub repo (or set of issues in that repo) for the maintainers to use to build/fix stuff. The fun implementation challenges have been around implementing the pooling dynamics and keeping the maintainers in charge while the backers are motivated to support their work.
Jun 2026 · clevercrow.io · its alternatives →
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Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…
2024 · github.com · its alternatives →
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Hey HN, I wanted to share a simple command line tool I made that has sped up and simplified my LLM assisted coding workflow. Whenever possible, I’ve been trying to use Claude as a first pass when implementing new features / changes. But I found that depending on the type of change I was making, I was spending a lot of thought finding and deciding which source files should be included in the prompt. The need to copy/paste each file individually also becomes a mild annoyance. First, I implemented `repogather --all` , which unintelligently copies all sources files in your repository…
2024 · github.com · its alternatives →
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Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
2025 · infinitcode.ai · its alternatives →
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Onboardy▲19Repo context workbench for humans and AI agents
Jul 2026 · onboardy.dev · its alternatives →
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Show HN: Context42 - AI-powered style guide generator for your codebase Hey HN, I've been building Context42 to solve a problem that's been bugging me: getting AI to write code like me, and helping disseminate coding best practices. The core insight is simple - your existing code is already your best style guide. Instead of debating tabs vs spaces or where to put your curly braces, Context42 analyzes your actual codebase and generates comprehensive style documentation using Google's Gemini AI. Here's what makes it special: 1. *Language-aware analysis* - It groups files by language and…
2025 · github.com · its alternatives →
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npx codebase-posters inside any git repo opens a local exhibition: 18 pieces painted live from your commit history. everything renders from git log, nothing leaves your machine.
Jul 2026 · github.com · its alternatives →
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AICoding,Develop Tools,LLM
2025 · codebaseassistant.com · its alternatives →
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Hi HN, We are researchers from ETH Zurich interested in the real-world adoption and impact of Code Agents. To measure this, we built a dashboard, scraping all public PRs on GitHub, analyzing which are created by different code agents (Codex, Jules, Copilot, Devin, etc.), and measuring their merge rates, sliced by various repository and PR characteristics. https://insights.logicstar.ai Since mid-May, we've analyzed over 10 million PRs and already found some interesting trends: Usage is high, but shallow. Agents submit ~7% of all PRs overall, but only ~1–2% on popular repos. Most…
2025 · github.com · its alternatives →
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Hi everybody, I personally found the best way to motivate yourself to program everyday is by creating a practice repo and by uploading anything you code up that day into this repo. This is a great way to stay consistent seeing the bright green light up every time you push your code. It's very addicting and satisfying, and has definitely made me a better programmer over the past few months.
2022 · github.com · its alternatives →
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Count lines of code in a GitHub repository.
2023 · ghloc.vercel.app · its alternatives →
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AI Code Prep rewritten from the ground up in Rust for speed
Jul 2026 · wuu73.org · its alternatives →
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RepoIQ▲15After years of struggling with onboarding to new projects, I got tired of spending weeks just trying to grasp the basics of a codebase. The README rarely tells the whole story, and "just read the code" isn't practical for large repos. I built RepoIQ to create personalized learning paths through any GitHub repository. It analyzes the codebase structure, identifies key components, and creates a step-by-step guide tailored to your learning needs.
2025 · repoiq.be · its alternatives →
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Most devs using AI coding tools don't even imagine how much information they put in the context window - tools, MCPs, tool responses, active skills - all of which take up some real estate. Sometimes updating a tool description or trimming api response can give significant savings - and profiler helps to measure that
Jun 2026 · github.com · its alternatives →
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Code▲20Hey HN, Today we're launching Code, a community-driven, open-source coding agent for your terminal. It's a fork of OpenAI's codex with a focus on developer ergonomics and local control. Key features: - Browser integration – attach to your Chrome via CDP or use a built-in headless browser. You can browse pages, run the CLI in a browser session, and even take screenshots from the terminal. - Multi-agent commands – /plan, /solve and /code orchestrate multiple models (ChatGPT, Claude, Gemini) to propose and implement solutions, with consensus or race options. - Diff viewer – see…
2025 · github.com · its alternatives →
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