Jaana Dogan, a Principal Engineer working on Google’s Gemini API, has shared a striking example of how fast artificial intelligence is advancing. Her remarks have gained strong attention across the global tech community. According to Dogan, an AI tool completed a task in one hour that took her team nearly a year.
Jaana Dogan revealed the experience in a post on X. She explained that Anthropos’s AI tool, Claude Code, recreated a complex system design with surprising speed. The system focused on distributed agent orchestration. These systems help manage and coordinate multiple AI agents at once.
Dogan explained that Google engineers worked on this problem throughout 2024. The team struggled to agree on the final architecture. Multiple designs were tested and debated. Despite long discussions, no clear solution emerged during that time.
To test Claude Code safely, Jaana Dogan avoided sharing sensitive data. She provided a short, three-paragraph explanation of the problem. The description used only public ideas and simplified concepts. No internal Google information was shared with the AI.
Despite the limited input, the AI produced a working prototype. The structure closely matched design patterns the Google team had spent months validating. Jaana Dogan said the output was a basic version. It still needed refinement and testing. However, the core logic was correct.
She described the result as shocking. She noted that the AI made design decisions on its own. The system showed an understanding of trade-offs normally handled by experienced engineers. This raised new questions about how engineers may work in the future.
Jaana Dogan also shared how AI coding tools have evolved over time. In 2022, AI could only suggest single lines of code. By 2024, it could manage multiple files. Now, in 2026, AI can restructure full systems. She admitted she once believed this level was years away.
Despite the progress, Dogan clarified that Google limits the use of Claude Code. Company policy allows it only for open-source projects. It remains separate from Google’s core internal systems. This ensures data protection and system safety.
Jaana Dogan also commented on competition in the AI industry. She rejected the idea that progress by rivals’ harms Google. She described innovation as a shared race. According to her, strong competition pushes teams to improve faster.
She praised Anthropos’s work and said it motivates Google engineers. She added that such breakthroughs inspire her team to improve their own AI models. The goal remains to build better tools responsibly.
This story also links closely with Meta’s expanding investments in artificial intelligence. A recent report on Meta Platforms’ $2B deal for Manus AI highlights how major tech firms are racing to secure advanced AI capabilities.
The post quickly went viral. It crossed more than five million views within days. Developers worldwide began discussing the impact. Many noted how AI can bypass slow processes and reduce delays.
Experts say this moment marks a shift. AI is no longer just a helper. It is becoming an active problem solver. Jaana Dogan’s experience shows how engineering roles may soon change.
As AI tools continue to mature, engineers may focus more on oversight and strategy. Execution may increasingly rely on intelligent systems. The future of engineering now appears closer than expected.
