Artificial Intelligence is moving faster than anyone expected – and now even Google engineers are shocked. A senior Google engineer revealed that an AI coding tool was able to complete a complex engineering task in just 1 hour that her team had been working on for almost one full year.
The engineer said, “I’m not joking”, while sharing the experience online, and her post quickly went viral among developers and tech communities.
What exactly happened?
According to the engineer, the team at Google was developing a complex system for months. Out of curiosity, she tried using an AI coding assistant tool to test whether it could help with a similar task.
Surprisingly:
•she explained the problem in simple language
•AI understood the full requirement
within around 60 minutes, AI generated working code
•the output was very close to the team’s original solution
She said that even though the AI-generated project was not 100% perfect, the speed and structure were shocking and extremely close to what experts had built over a long period.
Which AI tool was used?
The engineer mentioned that she used an advanced AI coding assistant tool (Claude Code type tool) that is specially designed for software development assistance.
These tools can:
•read natural language instructions
•generate complete codebases
•debug errors
•improve existing projects
•suggest architecture and design patterns
What did the engineer say?
The Google engineer advised fellow developers:
•do not underestimate AI tools
•try them seriously in real projects
•learn to work with AI instead of against AI
•future belongs to engineers who know AI-assisted coding
She also said that AI is not perfect, but it has become powerful enough to shock experts.
What does this mean for the future?
This incident clearly shows:
•AI will become a daily tool for programmers
big companies like Google, Microsoft, Meta are already shifting
•students and professionals must learn AI tools
•repetitive coding tasks may completely disappear
AI will not only support coding — it is slowly becoming capable of building, testing, and deploying systems on its own.