Murali Gour

Murali Gour

Digital Marketing Manager

About

Developer advocate passionate about Agentic AI, AI developer tools, and building products that empower engineers to ship faster. I love exploring autonomous AI systems, developer ecosystems, growth strategies, and emerging AI workflows while connecting with builders across the tech community.

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We built a diff analyzer that scores whether a code change matched the stated goal

One of the core tools in Invariant is diff_analyzer.

You give it:

Your coding agent ships code that works but does the wrong thing. How are you catching it?

We kept running into this while building DatGrout Invariant.

The agent makes a change. Tests pass. No errors. But the behaviour doesn't match what you actually asked for. No crash to debug, no obvious failure, just silent goal drift that shows up later.

We called this the "plausible but wrong" problem.

The frustrating part is that existing tools don't catch it, linters check syntax, test suites check output, but nothing checks whether the change matched the original intent.

Murali Gour

6d ago

DataGrout Invariant - Semantic code analysis for the AI era

Ship AI-generated code with confidence. Invariant, the semantic code analysis tool for AI agents, specializes in AI code review & agentic coding pipelines. It extracts facts, runs Prolog queries to detect security risks, intent mismatches, ensuring code goals are met. Prompt injection prevention grounds agent reasoning in verified code facts. Integrate Invariant into your agent’s workflow to empower self-correction, bug prevention, and high-quality, secure code delivery, every time.
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