#ai-in-development
#ai-in-development
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#software-engineering #code-quality #developer-productivity #software-development #application-security
fromDevOps.com
1 month agoSurvey 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.
Artificial intelligence
Artificial intelligence
fromIT Pro
2 months agoAI-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.
fromIT Pro
3 months agoShifting 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."
Software development
Artificial intelligence
fromClickUp
4 months agoHow to Use Cursor AI for Faster, Smarter Coding | ClickUp
Cursor AI dramatically enhances code writing and debugging efficiency through intelligent suggestions and context-aware assistance.
By integrating Cursor AI with ClickUp, developers can significantly streamline their project management processes.
Graphic design
fromMedium
4 months agoEverything's a vibe, the true cost of luxury, new privacy laws, strategic type
The culture is shifting towards emotional decision-making, posing questions about genuine progress.
AI tools are redefining roles in software development, shifting identities from creators to managers.
Software development
fromDevOps.com
5 months agoReport: Bulk of Application Vulnerabilities Don't Require Immediate Attention - DevOps.com
Most security alerts are informational, with only a small fraction needing immediate attention.
Context-based prioritization can drastically reduce the number of alerts developers need to address.
Many critical vulnerabilities are either minimally exploitable or related to dependencies, making remediation difficult.
The use of AI in coding is contributing to developers ignoring security alerts.
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