AI in software development is quickly moving from a nice-to-have assistant to a core tool for writing and reviewing code

Tools like Cursor, Cloud Code, and other IDEs with embedded AI agents are a new level compared to the now “classic” workflow of opening ChatGPT in the browser and copy-pasting snippets back and forth.
These agents can:
– help write code faster and keep style consistent
– review and refactor existing code
– suggest alternative, sometimes surprising solutions
– catch bugs earlier
– generate and maintain documentation alongside the code
– automate test case creation and maintenance, improving coverage and – speeding up regression testing

But for AI to be truly effective, context is everything.
Agents work much better when they have access to:
– well-written requirements and specs
– technical documentation that goes beyond a single repository
– clear instructions and conventions for how we want AI to behave and what “good” looks like in our projects

That’s why the idea of Spec Driven Development is becoming relevant again. High-quality specs don’t just guide humans — they also unlock the potential of AI agents to reason better about the system, make safer changes, and stay aligned with the bigger picture.

At our company, we’re actively exploring this approach across several projects: combining strong specifications with AI-powered tools to maximize impact, speed up delivery, and, most importantly, raise the quality bar of what we ship.

It’s an exciting time to rethink not just what we build, but how we build it — with AI as a true partner in the loop.

#AI  #WebSummit #SoftwareDevelopment #SpecDrivenDevelopment  #DeveloperExperience  #AIInEngineering