Why we embedded AI in our delivery process, not just our products
Most dev shops sell AI as a service but build software the old way internally. We flipped that. Every project at Chiranjeevi Tech uses AI-assisted code generation, automated testing, and auto-generated documentation. Result: 3x faster delivery, 60% less manual work. Happy to share our exact workflow if anyone's curious about implementing this in their own team.
How are you currently handling AI tool complexity in your projects?
We built Chiranjeevi Tech because we kept seeing the same pattern — teams spending more time stitching together LangChain, vector databases, LLM APIs, and deployment pipelines than actually building their product. Curious to hear from others: how are you managing the AI tooling sprawl in your stack right now? Are you handling it in-house or outsourcing the integration layer?