Can AI coding tools be trusted? Developers aren't so sure - over a third are concerned about AI-generated code quality despite widespread adoption and productivity gains
Despite frequent use of AI coding tools, 39% of developers have little trust in AI-generated code, highlighting a significant concern regarding its reliability.
Can AI coding tools be trusted? Developers aren't so sure - over a third are concerned about AI-generated code quality despite widespread adoption and productivity gains
Despite frequent use of AI coding tools, 39% of developers have little trust in AI-generated code, highlighting a significant concern regarding its reliability.
AI coding tools aren't the solution to the unfolding 'developer crisis' - teams think they can boost productivity and delivery times, but end up bogged down by manual remediation and unsafe code
AI code generation may increase productivity but leads to significant deployment errors and manual tasks.
Developers face increased debugging and security issues due to AI-generated code.
AI tools boost code volume but also the risk associated with bad deployments.
The efficiency benefits of AI in coding are offset by the need for more rigorous quality assurance processes.
AI coding tools aren't the solution to the unfolding 'developer crisis' - teams think they can boost productivity and delivery times, but end up bogged down by manual remediation and unsafe code
AI code generation may increase productivity but leads to significant deployment errors and manual tasks.
Developers face increased debugging and security issues due to AI-generated code.
AI tools boost code volume but also the risk associated with bad deployments.
The efficiency benefits of AI in coding are offset by the need for more rigorous quality assurance processes.
DevSecOps teams are ramping up the use of AI coding tools, but they've got serious concerns - AI-generated code is causing major security headaches and slowing down development processes
AI is widely used in coding, but security concerns about generated code are significant among developers.
Investing in AI requires careful governance strategies to protect sensitive data.
Most organizations recognize challenges of AI but lack confidence in their security measures.