DeepSummary
The episode discusses the concept of Software Engineering Intelligence (SEI), which provides data-driven visibility and insights into how engineering teams operate and improve their efficiency. Dan Leinz explains that SEI has evolved from simply providing data and visibility to enabling organizations to transform key business initiatives like on-time project delivery, resource allocation, developer coaching, and developer experience using data.
The hosts explore the core capabilities of SEI platforms, such as predictable project delivery, profitable engineering (aligning project costs with business goals), and automations that can directly improve workflows and unblock bottlenecks. They discuss how SEI platforms can benefit different roles within an engineering organization, from developers and managers to VPs and CTOs.
The conversation also covers the role of SEI in navigating changes like GenAI-generated code, the differentiators of great SEI platforms, and the potential future of SEI as a "copilot" for engineering managers, providing personalized insights and recommendations to improve productivity and decision-making.
Key Episodes Takeaways
- Software Engineering Intelligence (SEI) platforms provide data-driven visibility and insights into how engineering teams operate, enabling organizations to optimize key initiatives like project delivery, resource allocation, developer productivity, and developer experience.
- SEI platforms offer core capabilities such as predictable project delivery, profitable engineering (aligning project costs with business goals), and automations that can directly improve workflows and unblock bottlenecks.
- SEI platforms benefit various roles within an engineering organization, from developers and managers to VPs and CTOs, by providing data-driven insights, coaching opportunities, and workflow improvements.
- Great SEI platforms go beyond just providing metrics by offering automations that directly improve processes and workflows, enabling continuous improvement.
- The future of SEI platforms lies in becoming a "copilot" for engineering managers, providing personalized insights, recommendations, and automated actions to improve productivity and decision-making.
- SEI platforms can leverage AI and natural language processing to distill complex data into human-readable and actionable formats, helping managers identify bottlenecks, track sprint performance, and monitor developer productivity.
- The adoption of SEI platforms is expected to increase significantly in the coming years, with Gartner estimating that 50% of engineering teams will have adopted an SEI solution by 2027.
- SEI platforms can help engineering teams navigate changes and challenges, such as the integration of GenAI-generated code into the software delivery lifecycle.
Top Episodes Quotes
- “A mediocre SeI platform is just giving you metrics. Maybe it's just giving you door metrics, maybe it's giving you some project delivery metrics, that type of stuff. But at the end of the day, it's giving you the data. But that data is just sitting on the screen. What is a great SEI platform? And this is why I like to say with Linear B, we're like Sei plus. We're more than just Sei. It has to do with the automations that you can deploy that actually help improvement.“ by Dan Leinz
- “Now imagine coming in Monday morning. Hey, I know that we didn't get as much. We had too many meetings last week. I know that. Let's talk about which ones we need to remove so that everyone can focus on developing this week. That's a good manager. A bad manager is you find out two weeks later. But all your developers know, they've been complaining.“ by Dan Leinz
- “Think about a manager, think about everyone working on the team. There's so much data coming into the platform, which Nai is really good at, is like distilling that data and making it human readable to say, like, here's what we saw with the bottlenecks, here's what you should do next, or here's how this sprint went for you, or here's what we see happening within your people in terms of who is getting bogged down by toil and who's not.“ by Dan Leinz
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Episode Information
Dev Interrupted
LinearB
6/25/24
Engineering leaders have long used value stream management and CI/CD tools to improve software delivery practices. However, an increasing demand for cost and efficiency is leading to the adoption of new technologies. Enterprises are quickly adopting tools that combine deeper levels of visibility into the SDLC with net-new workflow automations, leading to a better developer experience and increased output.
This week's labs episode takes an in-depth look at Software Engineering Intelligence (SEI) Platforms and how engineering teams are using this new technology to gain a competitive advantage. LinearB’s COO and Co-founder Dan Lines along with co-host Conor Bronsdon cover the evolution of SEI, its core capabilities, and how these tools are being used to drive predictability, resource investment strategy and an improved developer experience.
Join our journey into the data insights and workflow automations that are driving the next wave of continuous improvement. Gartner estimates that the adoption of SEI platforms will increase to 50% of engineering teams by 2027 – whether you're a VP, manager, or developer, find out why adopting an SEI Platform is crucial to your future success.
Episode Highlights:
- 2:39 Digging into the data to find optimizations
- 4:02 What is Software Engineering Intelligence (SEI)?
- 9:08 What is profitable engineering and why should it be top of mind?
- 14:56 How can SEI help a VPE or CTO?
- 20:43 How does SEI relate to value stream management?
- 25:05 The role of automation in continuous improvement
- 29:36 How do SEI platforms help improve GenAI code orchestration?
- 31:45 What makes a great SEI platform?
- 34:19 What's next for SEI?
Show Notes:
- Moneyball (2011) directed by Bennett Miller • Reviews, film + cast • Letterboxd
- Download your complimentary Gartner® Market Guide: Software Engineering Intelligence (SEI) Platforms
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