AI's introduction as a dynamic factor in development enhances coding speed and quality, yet it poses new challenges to system stability, prompting developers to adapt.
Survey Surfaces Widespread Adoption of AI to Build Software - DevOps.com
Conducted by Dynata on behalf of Infragistics, a survey finds 90% of IT leaders are using AI tools in application development, with 71% not hiring developers lacking AI experience.
AI-generated code is in vogue: Developers are now packing codebases with automated code - but they're overlooking security and leaving enterprises open to huge risks
The rise of AI in development is leading to codebases that are predominantly AI-generated.
AI adoption is transforming software development, with natural language interfaces and proactive AI assistants reshaping the developer experience and workflow.
Siddiq et al. (2022) noted that code smells were prevalent in suggestions from Copilot, identifying 18 distinct types highlighting potential quality issues.
Shifting left might improve software security, but developers are becoming overwhelmed - communication barriers, tool sprawl, and 'vulnerability overload' is causing serious headaches for development teams
"Everyone talks about shifting left, but few are seeing the security gains they expected. Most organizations have tools in place, but they still struggle with noise, process friction, and developer resistance."
Vibe Coding: The Future of AI-Powered Development or a Recipe for Technical Debt?
Vibe coding simplifies software development by enabling natural language interaction with AI, streamlining coding tasks and reducing the barrier to entry.
Vibe Coding: The Future of AI-Powered Development or a Recipe for Technical Debt?
Vibe coding simplifies software development by enabling natural language interaction with AI, streamlining coding tasks and reducing the barrier to entry.