What Hammurabis Code Analysis Actually Is
I ran into this while going through some audit logs on a legacy .NET project. Hammurabis Code Analysis is a static analysis and compliance-checking framework. It was designed mainly for regulated environments where you need to prove that code follows a set of naming, security, and structural rules before it ships. The idea is similar to tools like SonarQube or Fortify, but the rule set is baked in and doesn't rely on third-party plugins. Here's the practical part. I got it working on a Windows Server 2019 box. The first thing I noticed is that the installer has a dependency on .NET Framework 4.8 and a recent version of Visual Studio Build Tools. If you're running a Linux CI pipeline, it's still possible but you'll hit friction with the path resolution on the msbuild integration. I got around that by wrapping the binary in a PowerShell script that sets the environment variables explicitly before each run. The configuration file is XML-based. It lives at C:\Program Files\Hammurabis\config\ruleset.xml by default. You open it and you can toggle individual rules on or off. The default rule set covers about 140 rules across four categories: naming conventions, data flow security checks, resource leak detection, and comment-to-code ratio audits. I disabled the comment-to-code rule immediately. It generated noise on every file and the threshold it used was set to 30%, which is arbitrary for most projects. After disabling it, scan time dropped from about 12 minutes to roughly 3 minutes on a mid-sized codebase of around 85,000 lines.
Integration with CI/CD is straightforward if you're using Azure DevOps. There's a built-in task. For Jenkins or GitHub Actions, you invoke the executable directly and pipe the XML output to a parser script. I wrote a small Python script that converts the Hammurabis XML report into JSON so it can be posted to Slack. Took me about 45 minutes to write and test it. The parser assumes the report is well-formed, which it usually is unless the build fails mid-analysis. One thing beginners miss is that Hammurabis does not check runtime behavior. It only inspects the compiled assembly and source files you point it at. If your code uses reflection-heavy patterns or dynamic loading, the tool will flag those as violations because it can't trace the data path. I had a whole module of WPF bindings get flagged for "unresolved data sink" because the binding was constructed via a custom markup extension. The workaround was adding a suppression file with a regex pattern that matches the extension class name. The suppression format is simple XML with XPath-style node selectors. There's no official public download link from the original publisher anymore. The project appears to have been absorbed by a larger compliance tooling company. I'm not able to verify a current, active download URL. What exists now is a commercial license portal. If you find an older standalone installer online, verify the checksum. I've seen modified versions floating around on file-sharing sites that bundle telemetry code not present in the original build.
The real bottleneck with this tool is the rule maintenance overhead. Every time your codebase adopts a new pattern or library, you end up updating suppression files and sometimes the ruleset itself. I spent a week adjusting rules for a migration from WebForms to ASP.NET Core MVC because the old rules assumed synchronous page lifecycle methods. The false positive rate at that point was about 40% until we tuned it down. After tuning, it settled around 8%, which is manageable but not zero. Another counter-intuitive thing: the tool runs faster when you feed it a filtered solution rather than the entire .sln file. It processes projects in parallel threads, and the default threading model assigns one thread per project node. Large solutions with hundreds of projects can cause thread exhaustion on older CPUs. I found that limiting the process to 8 threads via the --max-threads flag actually improved stability and reduced memory spikes. Without that flag, the scanner would sometimes OOM on a 32GB machine with a 600-project solution. If you're evaluating this for a new project, the main trade-off is cost versus coverage. It's not free, and the licensing is per-seat plus per-environment. For small teams it gets expensive quickly. An alternative worth considering is using a combination of Roslyn analyzers for custom rules plus a free scanner like CodeQL for the security-critical paths. That combo covers most of what Hammurabis does without the licensing overhead, though you lose the consolidated report format and the out-of-the-box compliance export features.
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