09/10/2026
Building Better Software with Agentic AI
How can AI agents help developers write better code and prevent bugs from reaching QA?
Yogesh Dhole, Lead Product Architect at SpurQuality, shared insights into how agentic development is improving our development process.
By using specialized AI agents, developers can ensure AI-generated code follows coding standards and architectural rules, identify the root cause of issues, and rely on evidence rather than guesswork.
This approach improves code quality at the development stage, reducing the number of bugs that reach the next environment for QA.
The session also highlighted key challenges, including AI hallucinations, token consumption, and scaling code validation across microservices.
Key takeaway: Quality starts with development. AI can accelerate coding, but reliable results require strong guardrails, evidence-based validation, and human oversight.