How has AI impacted software development teams in 2025?

AI has transformed software development teams by enhancing productivity and revealing team dynamics. While it acts as a powerful tool for skilled teams, it also exposes and exacerbates weaknesses in less cohesive teams.

AI as a Productivity Booster

In 2025, AI has become a significant force in software development, primarily by boosting productivity. Brad shared an anecdote about an engineer who embraced AI tools and managed to complete tasks in an hour that previously took two days. This transformation is not isolated - it's a trend seen across teams that have adopted AI tools effectively. "Generative AI for software engineering is a magic potion that reveals the character of the team," Brad noted, highlighting how AI can amplify the strengths of a well-functioning team ▶ 10:07.

Scott and Brad both agreed that AI tools, when used by skilled engineers, can significantly enhance their capabilities. The tools act as "power tools that make good engineers even better engineers," according to Brad ▶ 8:42. This sentiment captures the essence of how AI has been integrated into the workflow of software development teams, allowing them to tackle more complex problems with greater efficiency.

Revealing Team Dynamics

While AI can be a boon for productivity, it also has the unintended consequence of exposing team dynamics. Brad pointed out that AI doesn't magically improve all teams; rather, it highlights existing issues. He mentioned that "if it's already a strong team, they get much much stronger. If it's a team that has weaknesses, the generative AI exposes those weaknesses" ▶ 10:16. This observation underscores the dual role of AI as both an enhancer and a revealer of team dynamics.

The discussion between Brad and Scott touched on the idea that AI might exacerbate problems in weaker teams. As Brad put it, the challenge for 2026 will be "how do we deal with the challenge of the weaker team or the team that's got weaknesses that are then having AI exacerbate those problems?" ▶ 10:40. This is a critical consideration for leaders looking to implement AI tools effectively.

AI Realism Over AI Cheerleading

Throughout the year, Scott and Brad have shifted from AI skepticism to what Scott calls "AI realism." This shift reflects a broader industry trend where the initial hype around AI has settled into a more measured understanding of its capabilities and limitations. Scott described this transition as recognizing that "this is going to be a real thing and we're going to have to, you know, figure out how to make this fit into our world" ▶ 5:51.

This realism is crucial for teams and leaders as they navigate the integration of AI into their workflows. It involves understanding that while AI can automate and enhance certain tasks, it requires careful management and a clear strategy to align with business goals. The conversation highlighted the importance of not falling into the trap of AI cheerleading, where the technology is seen as a panacea for all problems.

The Role of Leadership in AI Integration

The integration of AI into software development teams requires strong leadership to navigate the complexities it introduces. Brad and Scott discussed the importance of leaders being proactive in understanding how AI tools can be leveraged effectively. This involves not only adopting the right tools but also fostering a culture that embraces change and continuous learning.

Brad shared his experience working as a fractional CTO, where he observed firsthand the impact of AI on team dynamics. He emphasized the need for leaders to be aware of how AI can both empower and challenge their teams. This dual nature of AI requires leaders to be vigilant and adaptable, ensuring that their teams are equipped to handle the changes AI brings.

Looking Ahead: Challenges and Opportunities

As we move into 2026, the conversation around AI in software development will continue to evolve. Brad and Scott anticipate that the focus will shift towards addressing the challenges posed by AI, particularly in terms of team dynamics and productivity. They both agree that while AI offers tremendous opportunities, it also requires a thoughtful approach to implementation.

The discussion concluded with a note of optimism, acknowledging the potential for AI to drive innovation and efficiency in software development. However, it also served as a reminder that the journey is ongoing, and leaders must remain engaged and informed to harness the full potential of AI.

In summary, AI has had a profound impact on software development teams in 2025, acting as both a catalyst for productivity and a mirror reflecting team dynamics. As we look to the future, the challenge will be to navigate these changes with insight and agility, ensuring that AI serves as a tool for growth and innovation.