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Beyond code generation: Five lessons on AI, reliability, and recovery

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Beyond code generation: Five lessons on AI, reliability, and recovery

AI is speeding up software development, allowing teams to build in days what once took weeks. But writing code faster does not necessarily make it easier to understand, maintain, or fix. As codebases grow, engineers must deal with failures in systems they may not have built or fully understood, often under pressure during an incident.

At TechSparks 2026, OPPEX hosted a roundtable titled ‘AI Can 10X Your Engineers. Can It 10X Your Ability to Fix What They Build?’, bringing technology leaders together to discuss the challenges of maintaining, troubleshooting, and recovering software systems built faster with AI.

The discussion brought together Abhishek Dwivedi, VP Engineering, Cimpress; Amit Khanna, Global Head of Engineering, Amadeus; Anand Rangarajan, VP Engineering, Google DeepMind; Ashish Chandra Tewari, Vice President of Engineering, Razorpay; Dheeraj Khanna, VP Engineering, Global Logic; Jaya Krishnan, VP Engineering, Coforge; Roopasree Ranganna, SVP, Workplace Technology and Service Delivery Leader, Synchrony; Ruby Tomar, Vice President & Head Agentic Firmware, Ascendion; Sarath Gollapalli, VP Engineering, Broadridge; Saurabh Kumar, VP Engineering, Capillary Technologies; Sridhar Jonnala, Chief AI Scientist, Distinguished Engineer, CTO -AI Strategy & Delivery, IBM; Sudhir Tiwari, Global Head, Digital Engineering Center, Thoughtworks; Trilok Ramakrishna, Site lead and Head of Engineering, dbt Labs; and Vasanthi Ramesh, Vice President & Engineering Site Leader, NetApp.

OPPEX was represented by Prasun Kumar, Founder and CEO. The discussion was moderated by Madanmohan Rao, Research Director at YourStory.

AI has accelerated code generation, but testing, validation, deployment, and downstream systems have not necessarily kept pace. As a result, code may be ready long before the rest of the system can support it.


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