Deepak Anupalli

Stop thinking about guardrails. Start thinking about the AI assembly model.​

The real shift in enterprise AI app generation isn't better validation — it's reducing how much needs validating in the first place.

As AI-generated code becomes the norm, the review gap is growing faster than the tooling to close it. Sonar's State of Code 2025 — surveying over 1,100 developers — found that 42% of code committed is already AI-assisted, and around 29% of it is merged without manual review. The problem is not AI — it's the approach: generate everything, then check everything.

Guardrails in this model become a perpetual catch-up game. WaveMaker takes a different position. With the AI assembly model, the focus shifts from fixing generated code to not generating the wrong code in the first place.

Fast-paced AI code generation​

AI generated code is taking over the developer written code, almost 40% of code is generated by AI coding tools & vibe coding platforms today. As more code gets produced faster, reviewing and validating its production readiness becomes a huge challenge for development teams.

While skilled developers, experienced in building frameworks and those who imbibed architectural best practices over the years are able to achieve dramatic gains in productivity, the rest of the developer community has mixed reactions with AI. Prototypes get built lightning fast, but to take these to production is a bohemeth task in getting the architecture and alignment to existing organization principles right.

At WaveMaker, we are focused in creating the right foundation for AI-accelerated development, with an Architecture First approach and achieving deterministic outcomes with LLMs.