AI is replacing software engineers. At least that's what the headlines say. But is it actually true?

In this episode of The Dashboard Effect, Brick - CEO of Blue Margin and Landon - Data Platform Manager at Blue Margin, get into what AI coding tools are really doing to software engineering teams right now. They cover why developers who tried AI tools in 2024 gave up too soon, how the best engineers on their teams are using Claude Code and ChatGPT Codex to ship faster without losing the craft, and why software engineering job growth keeps climbing despite all the doom and gloom.

If you lead a dev team, work in software, or just want to understand where this is all heading, this episode will change how you think about AI and your career.

👍 Like and subscribe if you want no fluff conversations about data, AI, and running a modern tech business.

Blue Margin is a business intelligence and data analytics firm helping companies turn raw data into decisions that drive revenue. With 120+ clients across industries, their team specializes in building dashboards and data platforms that leaders actually use.

Learn more at bluemargin.com.

Designing a dashboard might seem straightforward, just add charts, metrics, and a few visualizations. But the dashboards that actually help businesses make decisions often look surprisingly simple.

In this episode of The Dashboard Effect, Brick and Landon talk about why the most effective dashboards are usually the simplest to read, and the hardest to build. Behind a clean dashboard is often a lot of complex data modeling, business rules, and engineering work that makes the information accurate and easy to understand.

They walk through real examples, including salesperson ROI dashboards, accounts receivable reporting, and price-volume-mix analysis, to show how much work happens behind the scenes to create dashboards that people actually use.

If you’ve ever wondered why some dashboards get ignored while others become essential tools for decision-making, this episode explains the difference.

Learn more about Blue Margin:
https://bluemargin.com

Many companies assume the best way to build a data capability is to hire an internal team. But is that always the right move?

In this episode of The Dashboard Effect, Brick and Landon break down one of the most common questions they hear from prospective clients: Why outsource your data work instead of hiring in-house?

They talk through the real tradeoffs companies face when building a data team, from the challenge of finding a single person who can do everything (the “Batman” hire), to the hidden costs of recruiting, training, and managing multiple specialists.

They also discuss why outsourced teams can sometimes deliver more value than a single internal hire, thanks to a broader bench of expertise and the ability to scale resources up or down as business needs change.

Whether you're considering building your own data team or looking for ways to get more out of your data infrastructure, this conversation offers a practical look at the pros and cons of each approach.