AI to Write Most of Meta's Code Within 18 Months, Predicts Zuckerberg

In a recent interview, Meta CEO Mark Zuckerberg shared his vision of a future where artificial intelligence (AI) plays a central role in software development. He predicts that within the next 12 to 18 months, AI agents will be responsible for writing most of Meta's code, potentially outperforming human engineers in both speed and quality

AI's Role in Meta's Future Coding Efforts

Mark Zuckerberg has stated that AI agents are expected to write most of Meta's code within the next 12 to 18 months. This prediction was made during an interview with podcaster Dwarkesh Patel.

He explained that these AI agents would not merely autocomplete code but would be capable of setting goals, running tests, improving code, identifying issues, and producing higher-quality code than the average skilled human engineer.

Previous Predictions and Timeline Adjustments

Earlier this year, during an appearance on The Joe Rogan Experience, Zuckerberg predicted that by 2025, AI systems at Meta and similar companies would function as mid-level engineers capable of writing code.

However, the timeline has since shifted. Less than five months ago, the expectation was that such AI capabilities were imminent. Now, the anticipated arrival of these systems is projected for mid-2026 at the earliest.

Critical Perspective on AI Industry Promises

These changing timelines highlight the importance of critically evaluating the promises made by the AI industry. While AI agents may eventually replace mid-level programmers, current predictions often serve as promotional statements for technologies that are still in development and may not achieve the performance levels claimed by their proponents.

Conclusion

Mark Zuckerberg envisions a near future where AI agents play a pivotal role in software development at Meta, potentially surpassing human engineers in efficiency and quality. While this prospect is promising, the shifting timelines and ambitious claims underscore the need for a critical approach to the evolving capabilities and promises of AI technologies.

📌Source : engadget