Viktor Vasylkovskyi
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Sentrux - Using Architectural Sensor to improve quality of codebase in AI assisted coding

Viktor Vasylkovskyi•

Our AI Agent is working autonomously and can implement a spec. But can we trust it with non-degrading the large codebase quality over time? Sure it can implement the spec, but how about:

  • Reusing code right
  • Ensuring modularity
  • No 1000+ lines of code files

How can we enforce this, and even more, how can one rely on non-deterministic AI agent to follow the architectural guidelines. Turns out, there is a deterministic approach for this problem - Sentrux - and in this blog, we will cover how to hook it into our AI Agent, specifically, the Autonomous Multi-Agent Development with Claude Code

Use cases for Sentrux

To evaluate the Sentrux use cases we will perform the following step by step experiment.

The Baseline

  • Ask the multi agent system to implement a complex task, in particular, break down a design document and implement features in sequence as we have considered before in Autonomous Multi-Agent Development with Claude Code.
  • We will evaluate the previous Sentrux score, and the next (before and after), and manually inspect how this reflects on code quality

With the baseline, we aim to establish whether the sentrux score makes sense at all, and whether it is currently a problem when solving large tasks. I expect that it might be, so the sentrux score is expected to degrade over the course of implementation of large task, such as design doc, split in multiple features.

The Sentrux value

Once we establish the baseline, we are going to try and extract the value from sentrux.

  • To ensure the experiment is sound, we will use the same task as before, hence removing this variable
  • We will provide the ability to the agent to compute architecture score before starting coding.
  • After review pass, architecture score will be used as a gating check - worse score means worse architecture quality, so review is a FAIL
  • The sentrux is expected to clarify what is failing, so that the writer agent can fix the score

Other potential use cases

One might extrapolate as far as letting AI agent address arbitrary code tech debt, albeit the test coverage is good enough that agent will not regress features.