In this episode, the team gets hands-on with vibe coding and what it actually looks like inside real data work. From building API connections to generating synthetic datasets, they walk through where AI is genuinely speeding things up and where it still runs into friction.

The big takeaway: writing code might be faster, but everything around the data still matters just as much.

Blue Margin helps growing companies make better decisions with their data. From building data pipelines to creating reporting and dashboards, we handle the technical side so teams can focus on using their data—not chasing it.

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