Yeah, but the catch is that generic models don’t get you there. They’re great at the pattern stuff. But in practice they hallucinate edge cases, miss domain-specific rules, etc. For AI-led integrations to actually, you need a much tighter setup: models constrained inside an SDLC, access to real schemas and codebases, a feedback loop from actual systems, and guardrails that force deterministic behavior. Basically: AI that behaves more like a compiler than a chat interface. Without that structure, you just end up generating the same brittle glue code faster. Check out the tool that Isoform.ai has made - SDLC-driven AI coding platform.
https://yansu.isoform.ai/