Personal projects make scope discipline unusually difficult because nobody is assigned to stop you.
There is no product owner asking which feature matters most. There is no sprint boundary forcing a decision. There is no stakeholder asking whether the clever addition is necessary. You are the developer, architect, product owner, and customer.
Every role wants something different, and the developer usually has the loudest voice.
That is how a weekend project becomes a six-month plan that never ships.
The Product I Wanted to Build
I started CodeMetrics.AI with a much larger vision than the first version delivered. Ultimately, I want a suite of libraries that can analyze many kinds of codebases, plus a single AI skill that knows how to run the right analyzer and interpret the results.
The complete vision includes .NET, JavaScript, Java, Rust, and other ecosystems. Each language needs its own way to collect reliable evidence. The outputs need to follow a shared contract. The skill needs to discover the codebase, choose the right tooling, run it, and turn the evidence into useful analysis.
That is not a small personal project.
I also knew how much time I actually had. I would be building it in limited blocks between work, writing, and the rest of life. Waiting until the entire vision was ready would have been another way of deciding not to ship.
So the first version did two things for .NET codebases: it measured Cyclomatic Complexity and Depth of Inheritance.
That was enough.
The First Release Created Information
I published CodeMetrics.AI 1.0.0 as a .NET global tool on May 23, 2026. It did not support every metric I wanted, every language I imagined, or the unified skill I eventually want to build.
It worked, and people could use it.
That let me post about the project and develop it in public. I could see that developers were downloading it. More importantly, I could get feedback from people who were looking at the tool as users instead of as participants in the vision inside my head.
That feedback changed the product.
The original JSON output carried more detail than an AI analysis needed. The savings from tightening it were not enormous, and I do not have a dramatic token-reduction number to advertise. The important result was that the output became more efficient for an AI to consume.
The feedback also exposed a deeper architectural issue. The output was too closely shaped around .NET. If CodeMetrics.AI eventually expanded to JavaScript, Java, or Rust, the shared analysis layer would have to understand several language-specific formats.
I changed the contract so the output could become project-type agnostic.
That decision did more than improve the current .NET tool. It created a cleaner path toward the larger suite. The future language-specific analyzers can produce evidence in a common shape, and the eventual AI skill can analyze that evidence without caring which ecosystem produced it.
I did not discover that by planning the complete product.
I discovered it by shipping the incomplete one.
The MVP Grew With Evidence
CodeMetrics.AI is now at version 1.0.4. The current tool produces raw .NET code metrics and scored evidence across nine quality dimensions, including maintainability, error handling, performance, security, testing, documentation, dependency management, and architecture.
The larger vision still exists. JavaScript support is coming. Other languages can follow. A single skill can eventually discover and run the appropriate analyzer across different kinds of codebases.
None of that makes the first release a mistake.
The first release proved that the tool could work, that people would download it, and that outside feedback could improve its design. Each later version was built on information that did not exist before version 1.0.0 shipped.
This is the discipline personal projects require. You have to preserve the ambition without letting the ambition prevent delivery. The product owner in your head has to tell the developer, “That belongs in the vision. It does not belong in this release.”
Ship to Learn
Your MVP is not a miniature version of the final product. It is the cheapest way to discover what the final product should become.
That changes how you choose the first scope. You do not need the feature list that makes the project feel complete. You need the smallest useful release that puts the idea in contact with reality.
For CodeMetrics.AI, that meant two metrics in one ecosystem. The release was narrow enough to finish in the time I had, but useful enough for another developer to download, run, and react to.
The result was not merely validation. It was direction.
You can refine a private vision forever. Only a shipped product can disagree with you.
Receipts
- First release: CodeMetrics.AI 1.0.0 was published on NuGet on May 23, 2026.
- Current release: CodeMetrics.AI 1.0.4 produces raw .NET code metrics and scorecard evidence across nine quality dimensions.
- Public package: The full package history, installation instructions, supported dimensions, and current output are available on NuGet.