AI · alternatives · 2026
24 alternatives to Buildermark
I made Buildermark to see exactly how much of my code is generated by my coding agents vs what I was writing by hand. For this project, it ended up being 364 agent conversations writing 94% of the code. Browse all of those here: https://demo.buildermark.dev/ It matches edits by your coding agents (scans history in `~/.claude`, '`/.codex', etc.) with git commit diffs. It does formatting-agnostic matching to be robust against auto-formatting and reorganizing code. It's open source and local only, not even any analytics. Everything is automatic... just run the app, open…
Buildermark is a tool that measures how much code in a project was written by AI coding agents versus by hand. It automatically scans chat histories from Claude, Codex, Gemini, and Cursor, then matches them against git… 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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The New Waydev▲299Measure the full AI SDLC. From token to production.
Apr 2026 · waydev.co · its alternatives →
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Hey HN, I’m Henry, cofounder and CTO at Span (https://span.app/). Today we’re launching AI Code Detector, an AI code detection tool you can try in your browser. The explosion of AI generated code has created some weird problems for engineering orgs. Tools like Cursor and Copilot are used by virtually every org on the planet – but each codegen tool has its own idiosyncratic way of reporting usage. Some don’t report usage at all. Our view is that token spend will start competing with payroll spend as AI becomes more deeply ingrained in how we build software, so understanding how…
2025 · code-detector.ai · its alternatives →
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Weave▲237Hey HN, We’re building Weave: an ML-powered tool to measure engineering output, that actually understands engineering output! Why? Here’s the thing: almost every eng leader already measures output - either openly or behind closed doors. But they rely on metrics like lines of code (correlation with effort: ~0.3), number of PRs, or story points (slightly better at ~0.35). These metrics are, frankly, terrible proxies for productivity. We’ve developed a custom model that analyzes code and its impact directly, with a far better 0.94 correlation. The result? A standardized engineering output…
2025 · app.workweave.ai · its alternatives →
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git-lrc▲300Hi HN, I'm the author of git-lrc, would appreciate some feedback from the community Last year my team started using AI coding tools more heavily, and we found ourselves generating tons of code, but spending less time looking at the stuff that's been generated. We felt like we were losing a bit of grip/understanding of what we were building. Regressions occasionally slipped through. Sometimes changes made it all the way to production only to be reverted later. We tried several AI code review tools, but most operate at PR time. That felt too late. I wanted review to happen while the…
Feb 2026 · hexmos.com · its alternatives →
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See exactly how much you spend on Claude, across every tool
Mar 2026 · github.com · its alternatives →
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CodeBurn▲103See where your AI coding spend actually goes
Aug 2026 · codeburn.app · its alternatives →
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toolmark.ai▲100Build AI apps that generate text image and more without code
2024 · toolmark.ai · its alternatives →
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XHawk 0.99▲237Transform Coding Sessions & Code into a System of Context
Mar 2026 · xhawk.ai · its alternatives →
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RankDevs▲197Track, analyse and increase your programming activity
2025 · rankdevs.com · its alternatives →
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Plannotator▲97I started this in January as a hook for Claude Code's plan mode: when it finished planning, instead of approving a wall of text in the terminal, the plan opens in your browser and you could mark it up like a document. Your annotations go back into the agent session. It grew from there. There's now PR-style code review (git, jj, p4, GitHub/GitLab PRs) and annotation for markdown, URLs, and folders. Agents produce a lot of HTML now, so Plannotator renders those artifacts and lets you annotate them too. Nine harnesses are supported: Claude Code, Codex, Copilot CLI, Gemini, OpenCode, Kiro,…
Apr 2026 · github.com · its alternatives →
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Built this after realizing I was spending ~$1400/week on Claude Code with almost no visibility into what was actually consuming tokens. Tools like ccusage give a cost breakdown per model and per day, but I wanted to understand usage at the task level. CodeBurn reads the JSONL session transcripts that Claude Code stores locally (~/.claude/projects/) and classifies each turn into 13 categories based on tool usage patterns (no LLM calls involved). One surprising result: about 56% of my spend was on conversation turns with no tool usage. Actual coding (edits/writes) was…
Apr 2026 · github.com · its alternatives →
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Breadcrumb▲163Open-source LLM tracing for agent visibility
Mar 2026 · breadcrumb.sh · its alternatives →
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I use AI agents to build UI features daily. The thing that kept annoying me: the agent writes code but never sees what it actually looks like in the browser. It can’t tell if the layout is broken or if the console is throwing errors. So I built a CLI that lets the agent open a browser, interact with the page, record what happens, and collect any errors. Then it bundles everything — video, screenshots, logs — into a self-contained HTML file I can review in seconds. proofshot start --run "npm run dev" --port 3000 # agent navigates, clicks, takes screenshots proofshot stop It works with…
Mar 2026 · github.com · its alternatives →
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Markdown Studio▲126Markdown editor built for the AI workflow era
Dec 2025 · mdstudio.app · 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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We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds…
Feb 2026 · docs.continue.dev · its alternatives →
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Trails▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
Jan 2026 · trails-red.vercel.app · its alternatives →
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Since everyone seems to be making a github application, I thought I'd share mine. It's an aggregated view of all of a given person's github projects, as well as easyish lookups for linkedin/stackoverflow/hackernews. It attempts to determine both productivity (how much code did this person write?) as well as impact (did anyone care?) I'd love any feedback, but go easy on the number of simultaneous searches as I'm trying to play nice by github's api limits. check it -- http://www.gitalytics.com
2011 · gitalytics.com · its alternatives →
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Skilled▲76Dashboard to find agent skills you no longer need
May 2026 · github.com · its alternatives →
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For the past 4 years, I've been tracking the install counts of AI coding extensions in the Visual Studio Code marketplace (GitHub Copilot, Claude Code, OpenAI Codex, etc.) Today, I built an interactive dashboard that lets you see daily install counts for any of them over time. The chart shows GitHub Copilot by default, and you can overlay or swap in any of the other 20+ tools to compare. You can also see important dates in each tool's history (pricing changes, major releases, etc.) and how daily installs changed around those dates. Important caveats: 1) This only tracks VS Code extension…
2025 · bloomberry.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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GitChat▲48AI agent for GitHub pull request summaries and chat
2024 · gitchat.dev · its alternatives →
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Hi HN, I built a free, and completely open source, visual studio code extension, which generates tweets based on commits you select. While I was working on webtilities.com, an idea came to me: wouldn't it be cool that I could market this thing inside my editor. Ah, i'm truly lazy. Well, I spent a week building this thing that I bet no one will need because: * "This wont work. My commit messages are terrible" * "This is stupid, I can just use ChatGPT/Gemini/[Insert Chat Platform] directly" * "This is stupid, I get BILLED for using openai tokens" ... And the list goes on. But, I…
2024 · marketplace.visualstudio.com · its alternatives →
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