The Rise of the Globally Distributed Engineering Team: Powered by AI
The modern engineering landscape is undergoing a dramatic shift. No longer confined by geographical boundaries, teams are becoming increasingly distributed, leveraging talent from across the globe. This trend, coupled with the rapid advancement of artificial intelligence (AI), is reshaping how software is built and maintained. Recent discussions with Dana Lawson, CTO at Netlify, highlight these changes and offer valuable insights into navigating this new era.
Remote Work: Beyond the Pandemic Band-Aid
Remote work is no longer a temporary solution but a fundamental aspect of how many companies, like Netlify and Stack Overflow, operate. Building and maintaining a strong engineering culture in this environment requires intentionality. Lawson emphasizes the importance of creating opportunities for both in-person connection and a robust “written culture.” So documenting decisions, processes and knowledge to ensure clarity and accessibility for a globally dispersed team.
“With remote work, you still have to balance that opportunity to connect physically and in person with the remote nature,” Lawson explained. “There’s just no two ways around it. You get this energy buzz that people get by getting to meet people in real life.”
The Power of a Written Culture
A written culture isn’t just about documentation; it’s about inclusivity. With teams spanning multiple languages – both coding and spoken – a clear, written record minimizes ambiguity and fosters understanding. AI tools are now playing a crucial role in facilitating this, assisting with writing, translation, and summarization.
Lawson noted, “We try to follow a written culture…and now there’s no dang excuse with AI. I’m like, ‘Have AI do your writing.’”
Navigating Polyglot Environments and Technical Debt
Many modern engineering organizations operate in “polyglot” environments, utilizing a variety of programming languages and technologies. While this offers flexibility and allows teams to choose the best tool for the job, it also introduces complexity. Netlify, with its 50 engineers powering 5% of the internet, faces this challenge head-on. Lawson stresses the need to balance adopting new technologies with maintaining operational reliability.
“We try to think about how we share the operational load for those types of problems,” Lawson said, referring to managing specialized skills within the team. “We’re always reliable.”
Technical debt – the implied cost of rework caused by choosing an simple solution now instead of a better approach that would accept longer – is an inevitable part of rapid product development. Lawson highlights the importance of balancing speed with scalability and addressing technical debt proactively.
AI Agents: The Next Frontier
AI isn’t just assisting with documentation; it’s becoming an active participant in the development process. AI agents are emerging as powerful tools for automating tasks, generating code, and even suggesting solutions. Netlify is actively exploring this space with its “Agent Runners,” allowing users to make changes to their websites directly through AI-powered assistants.
“We’re really just paying attention to how people are using this and where we can continue to solve those problems,” Lawson explained. “We’re providing it [AI assistance]…and we’re using our offering internally to build it.”
However, Lawson also acknowledges the skepticism surrounding AI, particularly among engineers who are accustomed to having direct control over the codebase. Addressing these concerns requires transparency, education, and a focus on empowering engineers with AI tools rather than replacing them.
Building a Culture of Innovation
Innovation doesn’t happen in a vacuum. Lawson emphasizes the importance of listening to customers, fostering a culture of curiosity, and empowering teams to experiment. She believes that the key to success lies in creating an environment where people feel safe to share ideas and take risks.
“I just love people. I love getting to learn from people,” Lawson stated. “The best leaders are the ones that really know that life is better when you put all the best pieces that humans can bring together.”
The Future of Engineering Leadership
As the engineering landscape continues to evolve, leadership will require a new set of skills. Lawson advises aspiring leaders to prioritize people, embrace change, and be willing to learn continuously. The ability to foster collaboration, build trust, and empower teams will be essential for navigating the challenges and opportunities ahead.
Frequently Asked Questions
Q: What is a “written culture”?
A: A written culture prioritizes documenting decisions, processes, and knowledge to ensure clarity and accessibility for all team members, especially in distributed environments.
Q: How can AI help with technical debt?
A: AI can assist in identifying areas of technical debt, suggesting refactoring solutions, and automating repetitive tasks, freeing up engineers to focus on more complex issues.
Q: What are AI agents?
A: AI agents are automated tools that can perform tasks, generate code, and suggest solutions, assisting developers in their work.
Q: Is remote work sustainable long-term?
A: Yes, but it requires intentional effort to build a strong engineering culture, maintain communication, and foster collaboration.
Q: How important is it to stay up-to-date with new technologies?
A: Crucial. The tech landscape is constantly evolving, and continuous learning is essential for staying relevant and effective.
Did you know? Netlify powers 5% of all websites on the internet with a lean R&D team of approximately 50 engineers.
Pro Tip: Invest in tools and processes that facilitate asynchronous communication, such as detailed documentation, video recordings, and project management software.
What are your biggest challenges in managing a distributed engineering team? Share your thoughts in the comments below!
