Discover how engineering leaders can build scalable, resilient architectures with microservices. This post dives into real-world examples from companies like Netflix, Amazon, and Uber, highlighting key principles like domain-driven design, cross-functional ownership, and asynchronous communication.

Discover how Raif Rahal from World Supply International effectively scales engineering teams with nearshore talent. Learn about cultural alignment, operational readiness, candidate preparation, and competitive compensation in this recap of our episode of Tech Teams Today.

Explore how different reporting structures impact collaboration between engineers and product managers. Discover the pros and cons of various models and learn why leading through influence, rather than control, can foster better alignment and faster product delivery.

Learn how Chris Coffey, CTO at CollegeVine, leads his team to deploy software in just two days without sacrificing quality. Discover his strategies for rapid iteration, empowering engineers, and managing a remote team.

Revelo Co-CEO Lachlan de Crespigny breaks down his key takeaways after sitting down with Yongsheng Wu, VP of Engineering at Granica.ai, with insights on building solid data systems, leveraging AI and machine learning for efficiency, and fostering innovation within engineering teams. Learn how to build a foundation for successful AI initiatives and optimize your data management strategy.

Learn how top tech companies leverage AI to speed up development, deliver smarter features, and stay ahead of the competition.

Learn how to lead hybrid engineering teams effectively with insights from Google, Microsoft, and GitHub. Discover best practices for communication, collaboration, performance management, and building a strong team culture in a hybrid work environment.

Explore how AI is reshaping software development. Learn from Revelo CEO Lachlan de Crespigny and top engineering leaders on how to integrate AI, improve workflows, and drive innovation. Discover the impact of AI on team composition, code quality, and collaboration.

This article examines 11 crucial recruiting metrics that tech hiring managers should analyze, including time to hire, cost per hire, quality of hire, and offer acceptance rate. It explains each metric’s importance and suggests ways to improve it.

What sets generative AI vs. machine learning apart? Explore these technologies, their fundamental differences, diverse applications, and a few important considerations for their implementation.‍

Learn the key differences between NLP and LLMs, their use, and what the future looks like for these AI technologies.

Hiring for culture fit in tech requires a balance. You want to hire people with the right technical skills who will work well with coworkers, help the organization succeed, and move the company forward. This article explores how to assess for cultural fit and skills while still prioritizing diversity, equity, and inclusion.