Why Spaced Repetition
Learn how spaced repetition works, why memory fades, and how active recall dramatically improves long-term retention and mastery.
Begin the intro course →Senior Mainframe / Legacy Modernization Specialist with deep experience across COBOL, CICS, JCL, Datacom, IDEAL, DB2, VSAM, batch systems, production support, and enterprise application evolution.
This site is the front door to my work: modernization strategy, technical learning, selected projects, and practical ideas for using AI to accelerate understanding instead of adding noise.
The spaced repetition project now lives here as one part of a broader portfolio.
If you're new to the learning platform, begin with the introduction.
Learn how spaced repetition works, why memory fades, and how active recall dramatically improves long-term retention and mastery.
Begin the intro course →Each course is built from short lessons followed by practice questions. Concepts are reviewed over time using spaced repetition so that knowledge moves from short-term familiarity into long-term understanding.
A practical engineering mindset, shaped by decades of solving real enterprise problems.
I work at the intersection of legacy systems, modernization, and technical clarity. That includes understanding old codebases, stabilizing production systems, training new developers, and building paths from mainframe environments into newer platforms.
Good systems are understandable systems. Whether the tool is COBOL, Python, JSON, SQL, or an AI workflow, the goal is the same: reduce ambiguity, preserve what works, and make the next step clearer than the last.
What this site will highlight as it grows.
COBOL, CA IDEAL, Datacom, JCL, CICS, troubleshooting, conversion planning, and modernization support for long-lived enterprise systems.
Practical AI use for analysis, documentation, validation, training, and structured transformation of legacy knowledge into usable modern assets.
Spaced repetition, active recall, compact lessons, and developer-friendly learning tools designed to help people retain what they study.
A few of the ideas and builds that belong under the broader David Driver umbrella.
A menu-driven learning project built around short lessons, active recall, and durable retention. It remains an important project, now positioned as one part of a broader site.
Open learning platform →Tools and frameworks for analyzing copybooks, validating structures, and supporting migration paths from older enterprise systems into modern data and service layers.
Discuss the direction →Structured explanations for developers, analysts, and teams who need clear pathways into older systems, newer tools, or the ground between them.
Get in touch →A central landing page for professional identity, portfolio work, learning tools, and future content instead of a single-project homepage.
Why the shift matters →Spaced repetition still matters here — now as part of a larger vision around teaching, understanding, and technical acceleration.
The spaced repetition system now lives as a featured project with its own destination under the main DavidDriver.net umbrella.
Keep the learning app intact, then gradually add more projects, pages, and portfolio sections around it.
Mainframe modernization, technical learning, and AI-assisted workflows.
DavidDriver.net is a working portfolio for modernization concepts, learning tools, and selected technical projects. eMail: DavidDriver@aol.com
Additional professional links, project notes, and references will be added here.