Software Engineering Daily

Hype and Reality of the AI Coding Shift

55 snips
Apr 23, 2026
Manish Kapur, VP of Product Marketing & Developer Relations at Sonar with hands-on enterprise software experience, and Chris Grams, CVP of Corporate Marketing at Sonar and survey/data specialist, discuss Sonar’s State of Code Developer Survey. They cover rapid AI adoption, widespread but cautious use of AI-generated code, verification and static analysis for trust, tool proliferation and shadow AI, and how teams should prioritize verification and skills.
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INSIGHT

Rapid AI Code Adoption Creates A Trust Gap

  • 42% of developers' code is AI-generated today and is expected to rise to 65% by 2027.
  • Yet 96% of developers said they do not fully trust AI-generated code, creating a large verification gap that organizations must solve.
ANECDOTE

Developers Experiment Widely And Use Personal Accounts

  • Many developers experiment with multiple AI tools and often use personal accounts, with the average person trying four different tools.
  • About 35% use personal accounts for work, creating shadow AI risks for IP and data privacy.
INSIGHT

The Great Toil Shift From Writing To Verifying

  • AI reduces old toil like docs and tests for 75% of developers but creates new verification toil.
  • Developers spend similar time on toil, shifting from writing to reviewing and validating AI-produced code for quality and security.
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