Tech Disruptors
Menlo Ventures on Developer Technology, M&A, AI
Feb 10, 2025
Tim Tully, a partner at Menlo Ventures, shares insights on the evolving landscape of developer technology. He discusses the impact of AI on engineering roles and productivity, highlighting the rise of large language models. Tully also covers the transition to cloud databases, including the growing adoption of Postgres and innovations in observability. The conversation touches on the future of M&A activity, driven by technological advancements, and outlines expectations for the industry by 2025.
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Quick takeaways
- The complexity of modern engineering roles has grown significantly, demanding more focus on infrastructure rather than just writing code.
- The increasing emphasis on observability and investment in AI infrastructure signals a dynamic shift in the technology landscape for startups.
Deep dives
The Evolution of Engineering Roles
The complexity of engineering roles has significantly increased in recent years. Modern engineers are now required to focus on a myriad of tasks including ensuring full test coverage, managing continuous integration and continuous deployment (CI/CD), and working with advanced technologies like Kubernetes. This shift means that engineers spend more time on the supporting infrastructure around code rather than just writing new code. The speaker acknowledges that while productivity tools, such as large language models, offer some alleviation, they do not eliminate the challenges faced by engineers today.
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