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Despite 78% Claiming Productivity Gains, Two in Three Developers Say AI Misses Critical Context, According to Qodo Survey


News provided by

Qodo

Jun 12, 2025, 07:00 ET

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NEW YORK, June 12, 2025 /PRNewswire/ -- Qodo, the quality-first AI coding platform, released today a comprehensive survey of over 600 developers, revealing that despite widespread adoption of AI coding tools there is still a striking confidence crisis: while 82% use AI coding assistants daily or weekly, very few fully trust the generated code. The 'The State of AI Code Quality 2025' report analyzes how AI tools affect software development across productivity, code quality, and developer experience.

Key findings from the report include:

  • AI adoption is mainstream - 82% of developers use AI coding tools daily or weekly
  • Productivity advances with AI - 78% of developers experience productivity improvements from AI coding tools
  • But relevant context is missing - 65% of developers say AI misses relevant context during critical tasks like refactoring, writing tests, or reviewing code
  • AI coding tool market isn't winner takes all - 59% of developers are using three or more different AI coding tools
  • Job satisfaction improves - 57% of developers say AI makes their job more enjoyable or relieves pressure, with only 20% reporting increased burnout
  • Overall improved quality from AI - 60% of developers say AI has improved code quality, only 18% say AI has degraded it
  • AI code review correlates with improved quality - Teams integrating AI code review gain a significant quality edge - reporting 35% higher rates of code quality improvement than teams without automated review

The study reveals a critical trust gap undermining AI coding's potential. While 78% of developers report productivity gains from AI tools, a striking 76% still don't fully trust the generated code—creating a bottleneck that erodes the very speed benefits that automated code generation promises as developers shift towards manual reviewing of code. However, the research identifies automated AI-empowered code review as the key catalyst that transforms this dynamic. Teams integrating AI review into their workflow see quality improvements jump to 81% compared to just 55% for similar teams without review, creating a 'Confidence Flywheel' - where better quality builds trust, leading to faster shipping and better outcomes.

"Developers have clearly embraced AI tools and are seeing benefits in productivity," said Itamar Friedman, CEO and co-founder of Qodo. "But, the most successful teams aren't using AI just to generate more lines of code, they are integrating AI with quality practices, so they can trust the software they produce, and create faster, better software as a result."

The study reveals a notable experience gap in how developers approach AI-generated code. Senior developers (10+ years of experience) reported the highest code quality benefits from AI (68.2%) but showed the most caution about shipping AI code without review—only 25.8% expressed confidence in doing so. In contrast, junior developers (<2 years) reported the lowest quality improvements (51.9%) yet expressed the highest confidence (60.2%) in shipping AI-generated code without human review. This suggests that experienced developers better understand both the capabilities and limitations of AI coding tools, and are seeing the biggest benefits, while less experienced developers may overestimate AI capabilities.

The survey was conducted in early 2025 among 609 developers spanning various company sizes from small startups to large enterprises. Respondents represented a diverse mix of experience levels, including senior, mid-level, early-career, and junior developers across ten industries, including technology, financial services, healthcare, and e-commerce sectors.

Download the full report here.

About Qodo

Qodo is an agentic code quality platform for reviewing, testing, and writing code, integrating AI across development workflows to strengthen code quality at every stage. The company's AI agents are powered by a core platform that provides deep context awareness, enabling AI to understand the specific best practices of a codebase and solve complex coding challenges more effectively. Founded in 2018, Qodo has raised $50 million in funding, with backing from notable investors including TLV Partners, Vine Ventures, Susa Ventures, Square Peg, and angels including executives from OpenAI, Shopify, and Snyk. For more information, visit www.qodo.ai.

Contact: 
Gavriel Cohen
Concrete Media for Qodo
[email protected]

SOURCE Qodo

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