Show Your Work: Trusting AI-Generated Software
How AI-generated apps turn an open book into a black box, and how to keep the trust.
Writing
Applied software engineering
Practical guidance for teams and leaders navigating engineering problems.
Technical deep dives
Detailed, hands-on explorations of specific technologies or techniques.
What the Software Ought to Do. What It Ought to Be.
I replaced my personal finance spreadsheet with a terminal app, wrote none of the code, and used a stack I'd never touched. How well can an engineer supervise an LLM exclusively authoring code in a language and framework they don't know?
Comparing Performance and Developer Experience of Migrating a Spring Boot Back-End to Vert.x
A practical example of the gains and pitfalls in migrating existing Spring Boot logic to Vert.x.
Simulating and Visualizing Real-Life Events in Python with SimPy
We walk through the development of a complete model from the events industry, and show three different ways to visualize the results (including AR/VR).
Software development and delivery
How teams plan, build, and ship software.
Stories and points aren't real, focus on the goal
Don't let arbitrary metrics dictate your engineering. Learn why prioritizing real-world goals over abstractions leads to better software and motivated teams.
The Effects of Non-Technical Systems on Software Projects
A look at how John Gall's 1975 Systemantics still applies to software today.
Data science
Statistics, modeling, and data-driven analysis applied to real-world problems.
Simulating and Visualizing Real-Life Events in Python with SimPy
We walk through the development of a complete model from the events industry, and show three different ways to visualize the results (including AR/VR).
Fraud Classification in an Online Corporate Program
How domain knowledge with introductory statistics can be used to detect and identify fraudulent activity in an online corporate retail program.
Applied software engineering
Show Your Work: Trusting AI-Generated Software
How AI-generated apps turn an open book into a black box, and how to keep the trust.
Technical deep dives
What the Software Ought to Do. What It Ought to Be.
I replaced my personal finance spreadsheet with a terminal app, wrote none of the code, and used a stack I'd never touched. How well can an engineer supervise an LLM exclusively authoring code in a language and framework they don't know?
Software development and delivery
Stories and points aren't real, focus on the goal
Don't let arbitrary metrics dictate your engineering. Learn why prioritizing real-world goals over abstractions leads to better software and motivated teams.
Technical deep dives
Comparing Performance and Developer Experience of Migrating a Spring Boot Back-End to Vert.x
A practical example of the gains and pitfalls in migrating existing Spring Boot logic to Vert.x.
Technical deep dives · Data science
Simulating and Visualizing Real-Life Events in Python with SimPy
We walk through the development of a complete model from the events industry, and show three different ways to visualize the results (including AR/VR).
Data science
Fraud Classification in an Online Corporate Program
How domain knowledge with introductory statistics can be used to detect and identify fraudulent activity in an online corporate retail program.
Software development and delivery
The Effects of Non-Technical Systems on Software Projects
A look at how John Gall's 1975 Systemantics still applies to software today.