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Brian MillotView profile
About
Overview
coderot tracks how maintainable your codebase stays over time: complexity, duplication and hotspots, per folder, month by month. It marks the month most merged PRs started coming from AI agents and names the PRs behind each jump, including large ones merged without review comments. It runs as a GitHub Action in your CI and builds a year of history on the first run. Only numbers leave your CI, never your source code. Supports C#, TypeScript/JavaScript, Python, Go and Rust on GitHub. Free for open source and teams of up to 5, and free for everyone during the beta.
LaunchIt data
coderot launch on LaunchIt
coderot launch launched on LaunchIt on November 12, 2026, in Developer Tools. It ranks #1 of the 4 products launched that day. Since launch it has collected 1 upvote and 2 page views.
- Launched
- Nov 12, 2026
- Rank that day
- #1of 4 launches
- In category
- #34of 70 in Developer Tools
- Upvotes
- 1
- Page views
- 2
- Rating
- None yetBe the first
Live numbers from LaunchIt. Ranks count upvotes, then page views.
LaunchIt data
coderot launch's launch week
21 products launched on LaunchIt between November 9 and November 15, 2026. The top 12 are shown.
Ranked by
Page views since launch
coderot launchcoderot launch launched on LaunchIt on November 12, 2026, one of 21 products launched that week. With 2 page views since launch, it has the 18th most of its launch week.
Page views recorded by LaunchIt.
At a glance
coderot launch in a Nutshell
Who is it for?
Developers and engineering leaders managing codebases who want to understand maintainability trends over time.
Problem
Maintainers struggle to see how complexity, duplication, and hotspots evolve month by month. AI-driven changes can blur the history, making it hard to identify when large, AI-generated PRs impacted maintainability and where issues originate within the project.
Solution
Coderot launch integrates as a GitHub Action to track maintainability metrics across folders over a year, highlighting when AI-generated PRs caused jumps and naming the specific PRs behind those changes. It keeps all data within the CI environment, exporting only numbers to preserve the source code intact.
What makes it unique
It automatically marks the month when the most merged PRs started coming from AI agents and names the PRs behind each significant jump, including large ones merged without review comments. It provides per-folder, month-by-month visibility and runs without exposing code outside the CI workflow.
In practice
Use Cases
Monitor codebase maintainability trends
Identify AI-driven spikes in complexity
Pinpoint hotspots by folder over time
Trace PRs behind maintainability changes
Audit CI history for AI influence
Review before major releases
Pricing
coderot launch pricing
Is coderot launch free? coderot launch has a free plan, and paid plans start at $12/mo.
Free
Free
Contains everything, up to 5 active developers
Team
$12/month
Everything, used for more than 5 active developers
Pricing listed by the coderot launch team. Check the coderot launch website for current prices.
Alternatives
coderot launch alternatives
3The closest alternatives to coderot launch on LaunchIt are Aevral, Monocrawl and STRICH Barcode Scanning SDK. They do a similar job in Developer Tools, and they are ranked by upvotes from the LaunchIt community. Compare pricing, ratings and launch dates below.
| Product | Pricing | Rating | Upvotes | Launched | |
|---|---|---|---|---|---|
 coderot launchThis product | Freemium · From $12/mo | No reviews | 1 | Nov 12, 2026 | |
 Aevral | Not listed | No reviews | 1 | Sep 14, 2026 | |
 Monocrawl | Not listed | No reviews | 1 | Oct 7, 2026 | |
 STRICH Barcode Scanning SDK | Not listed | No reviews | 0 | Oct 25, 2026 |
Good to know
Frequently Asked Questions
Behind the product
Meet the Maker
Maker of coderot launch · On LaunchIt since 2026
On teams I've worked with, agents write almost all the code, and reviews became "looks fine, merge." I kept asking: since agents took over, is our codebase getting harder to maintain? Where, and why? No tool could tell me. So I built coderot. It reads 12 months of git history, marks when agents took over, and shows complexity, duplication and hotspots before vs. after, per folder and per PR. Your code never leaves your CI. Then I scanned 450 public repos, and the result surprised me: agents alone don't make code worse. Growing fast with them does.
Instant answers
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Community
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Tried coderot launch? Tell other founders what worked and what did not.
More in Developer Tools
Hi, I'm the founder of coderot 👋 Why another code quality tool? Sonar and CodeScene check code when it's written or merged, and they treat agent code the same as human code. GitClear separates AI code from human code, but it reports productivity, not maintainability. None of them shows how a codebase changed from before agents to after. The numbers behind "growing fast is the problem": AI-heavy repos that kept a steady size got about as complex per line as the rest (+3.9% vs +3.0%). AI-heavy repos that grew 1.5–3× got much more complex (+17.9% vs +3.3%). Where things are now: you can browse the live demo with real public repos, and the waitlist is open for your own repos. It supports C# and TypeScript/JavaScript first. Setup is one workflow file with no secrets, and your source code never leaves your CI. I'd really like to hear from you: since your team moved to agents, have you noticed your codebase getting harder to work in? How do you tell today? I'm also happy to scan a public repo if you drop a link.