We ❤️ Open Source
A community education resource
How decentralizing AI can improve developer productivity and privacy
Boosting coding efficiency with AI: Insights from M9 co-founder Swanand Rao.
Swanand Rao, co-founder of M9, sat down with the All Things Open team to discuss the rapid growth of generative AI and the mission of M9 to enhance developer productivity with AI inference at the source. M9’s platform allows developers to speed up their coding without sending their code to third-party systems. Swanand highlights how AI is transforming industries, particularly software development, and how M9 aims to improve productivity by bringing AI closer to the users.
He also shares his perspective on decentralized intelligence, emphasizing that many AI workflows are personal and often require collaboration before or after the application of AI. This approach led to M9’s focus on making AI more accessible to developers, enabling them to use it more efficiently in their workflows. Swanand’s passion for open source technology and its impact on his career is evident as he stresses the importance of leveraging AI to boost productivity.
Swanand encourages developers to embrace AI and dive into the ecosystem of new tools and technologies. He advises conference attendees to find their areas of interest, build networks, and apply what they’ve learned to real-world projects after the event.
Key takeaways
- Decentralized intelligence is the future of AI, with M9 focusing on bringing AI closer to the users to improve developer productivity.
- AI tools are rapidly evolving, and developers should embrace AI, leveraging the ecosystem to create innovative solutions that enhance their coding workflows.
- Networking and continuous learning are key to professional growth in tech. Conferences, such as All Things Open, offer a great opportunity to build connections and expand knowledge, which can be applied to real-world projects.
Conclusion
Swanand’s insights reveal the power of AI to enhance developer productivity and its role in shaping the future of software development. By embracing AI tools, focusing on decentralized intelligence, and fostering a community of continuous learning, developers can stay ahead of the curve and drive innovation in their respective fields. The conversation is a reminder of how the AI landscape is evolving quickly, and developers should seize opportunities to learn and apply new technologies to improve their workflows.
More from We Love Open Source
- Why you should learn assembly language
- Why Kubernetes is essential for AI and open source
- Exploring PyTorch and open source AI tools with Sahdev Zala
- Get started with gokrazy: Simple self-hosting on Raspberry Pi
The opinions expressed on this website are those of each author, not of the author's employer or All Things Open/We Love Open Source.