Flux expands its platform to show whether AI coding investments are paying off
Code-first engineering intelligence startup Flux Cyber Inc. today expanded its platform with tools meant to show engineering leaders whether their investment in artificial intelligence for software development is paying off. The release takes on a problem Flux says has come up again and again with engineering leaders over the past year. Adoption is easy enough […] The post Flux expands its…
Engineering intelligence firm Flux Cyber Inc. has enhanced its platform to help leaders determine if their investment in AI for software development is yielding results. The company recognizes that while AI adoption is widespread, it doesn't necessarily reflect improved outcomes. To address this, Flux has introduced five blind spot assessments built on code analysis capabilities.
First, 'velocity theater' checks if increased activity genuinely leads to progress by analyzing merged changes. Second, 'review debt' identifies bottlenecks in code review processes. Third, 'auditable work' ensures significant changes are traceable, even without ticket assignments. Fourth, 'continuous quality' monitors security updates, dependencies, and recovery trends to catch issues early. Lastly, 'defensible spend' separates work into capitalizable and operational categories for better financial decision-making.
All these insights are derived from the code itself, eliminating the need for additional instrumentation. With these tools now generally available, Flux aims to provide engineering leaders with clear, actionable data to evaluate their AI investments.
Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.