I noticed an interesting paradox in the development industry. AI tools came into coding with the promise of making programmers' lives easier, but the opposite has happened. Bloomberg recently brought up this topic, and it truly resonates within the community.

You see, when companies implemented not just assistant agents but full-fledged AI systems for automating routine tasks, expectations immediately skyrocketed. Now managers think: if AI speeds up the process, why not shorten deadlines? Instead of developers breathing freely and focusing on complex problems, a reverse effect has occurred.

The reality is: the agent-assistant is not a magic wand that supposedly solves all problems. In fact, it has created a new level of pressure. Engineers work faster, longer, often with the same stress, but now also with the feeling that they are not efficient enough if they don’t utilize all AI capabilities to the fullest.

The thing is, an agent-tool simply accelerates task completion but does not change the development culture itself. Companies have just raised the bar of expectations. Instead of five features per sprint, now they expect ten. Instead of two weeks for a project, now it’s one.

The trend of burnout is especially concerning. Developers who were supposed to get a break thanks to AI are instead given even more work. And now, the assistant agent is no longer perceived as help but as a whip.

It seems to me that the industry is at a crossroads. Either we rethink how we implement AI in development, or we risk losing top talent due to burnout. We need to honestly discuss the balance between technological progress and the well-being of the people creating these technologies.