#ai-in-development

#ai-in-development

Microsoft is pitching a future where AI controls everything on your PC and agents go and do work for you in the background. But before the company gets there, it has to build the tools to make these systems work and convince its own developers that AI is actually capable of achieving these big promises.

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.

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.

Copilot helps me start faster, move smarter, and catch things earlier.

Siddiq et al. (2022) noted that code smells were prevalent in suggestions from Copilot, identifying 18 distinct types highlighting potential quality issues.

"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."