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Calm Leadership at Scale: Building High-Trust Tech Teams
On this episode of Tech Teams Today, we unpack what it really takes to scale high-performing engineering teams. From promoting ICs at the right time to balancing speed with security, this recap shares leadership insights you can apply today.
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Engineers and Product Managers: Striking the Balance in Tech Teams
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.

How to Ship Code in 2 Days: Insights from CollegeVine CTO Chris Coffey
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.

Data and AI: Building Solid Foundations for Success
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.

The Foundations of a Successful AI-Driven Product Strategy
Learn how top tech companies leverage AI to speed up development, deliver smarter features, and stay ahead of the competition.

Mastering the Art of Leading Hybrid Engineering Teams
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.

Engineering the Future: How AI is Shaping the Next Era of Software Development
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.

Identifying Tech Recruitment Metrics for Growth
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.

Generative AI vs. Machine Learning: Key Differences and Uses
What sets generative AI vs. machine learning apart? Explore these technologies, their fundamental differences, diverse applications, and a few important considerations for their implementation.

NLP vs. LLM: Differences, Uses, and Impacts
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
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.

How Managers Can Use AI to Boost Productivity
Revelo analyzed McKinsey's research to discover how managers can use AI to their advantage and boost productivity on their teams.

17 Software Engineering Skills Every Candidate Should Possess
The ideal candidate for a software engineering role is one with the right technical and soft skills. This article highlights some of the key skills and expertise HR professionals should consider during the hiring process.
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