2don MSNOpinion
The next challenge is trust, not speed of code generation
AI coding platforms are becoming crucial infrastructure, but governance, verification and trust are now major challenges.
Large language models (LLMs) seemed to arrive in a flash. Monumental productivity gains were promised. Coding assistants flourished. Millions of multi-line code blocks were generated with a key press ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Not that long ago, humans wrote almost all ...
AI is generating code faster than humans can ever hope to verify. If your QA strategy hasn't evolved to match the speed of AI ...
Piling on guardrails is the sign of a system permanently compensating for its own unreliability. There’s a better approach. According to Sonar’s State of Code Developer Survey report for 2026, based ...
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Microsoft unveiled MAI-Code-1-Flash, its first model that turns descriptions into working code
Software developers working with command-line tools and large codebases now have a new option from Microsoft: ...
Organizations need to break the infinite renewal cycle of AI learning from the flawed data of previous AI models.
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
Axiom Quant Inc. said today it’s ready to step up to the plate and make sure that the tsunami of artificial intelligence-generated code is safe, secure and accurate after raising $200 million in early ...
Somewhere in a defense ministry, someone is drafting a policy on whether to permit AI-assisted software development in defense procurement. The sentiment is understandable, but the policy is ...
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