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AI-accelerated development is delivering on its promise. Engineering teams are shipping more code, moving faster, and we can all see that the productivity gains are real.

Lots of successful people are very humble. Ted fits the bill here, as he’s very humble.

The race to keep pace with automation tools opens the door for partners to deliver governance and security services.

Flux has published a report on the use of AI-generated code in software development.

A survey of 309 engineering leaders on what AI-generated code actually looks like in production, where review and visibility are breaking down, and what high-performing teams do differently.

AI Visibility Gap Grows as AI Code Hits 44.7% in Production

Most engineering organizations write code with AI, and a good number of them keep that code away from customers.

Flux’s new AI Code Generation Reality Check report shows AI-generated code has moved well beyond experimentation and into mainstream enterprise software development.

Flux Report Reveals AI Visibility Gap as AI-Generated Code Reaches 44.7% in Production

A global survey of 309 software engineering leaders, published today, finds 81% of organizations have to some degree reworked development and release processes

AI-generated code is rapidly becoming standard practice, yet more than a third of teams are still hesitant to move it into production, wary of risks they lack visibility into.

For much of its short history, platform engineering has focused on building the technical foundations that make software delivery faster, more reliable and more consistent.