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Utilizing AI code assistants to make your team more efficient

Updated: Apr 30

“They help you do more of what you do…If you are a great developer, they’ll help you do more, because it’ll help you get the boilerplate out much more quickly. But if you’re a mediocre developer or just getting started out, they’re not going to make you a better one. They will just help you do more of what you’re currently doing.”

In a recent interview with TFiR, Saurabh Gupta, Director of Industry Solutions at Qarik, shares how the role of code assistants is evolving in software development. Some key aspects include:


  • Evolving Capabilities and Strategic Adoption: Code assistants will become more cost effective and capable over time and developing a strategic and informed adoption process by organizations will be key for successful implementation. A one-size-fits-all approach might not be the best, and multiple specialized options might be required.

  • Optimization and Cloud Integration: Use specific KPIs to measure improvements in cloud operations, such as time to root cause analysis, and cost efficiency gains.

  • Risk Mitigation: It is advisable to take a risk-mitigated approach to adopting code assistants: understand the licensing and data sharing terms, and also assess solution portability.

Watch the full interview to learn more about strategic frameworks for effectively integrating code assistants into software development processes.




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