“You Had One Job”: Why Twenty Years of DevOps Has Failed to Do it

The text explores the evolution of DevOps and the role of feedback loops in software development, highlighting that while the DevOps movement aimed to connect developers with production systems, it fell short due to inadequate technology. The advent of AI is seen as a game-changer, offering new possibilities for creating effective feedback loops between developers and production systems, thus overcoming previous technological limitations. The text emphasizes the importance of observability in closing feedback loops and suggests that AI has significantly reduced the complexity and cost of instrumentation, allowing developers to focus more on experimentation and validation rather than merely writing code. It also points to a shift in the developer's role, where understanding and decision-making become more crucial than code writing itself. Despite these advancements, the text acknowledges that many organizations still rely on outdated operational feedback loops, potentially leading to challenges in understanding and managing AI-generated code. Ultimately, the piece argues that while DevOps is not dead, the new AI-driven landscape offers opportunities for improvement by better connecting developers with the outcomes of their work in production environments.