C++20 modules are finally usable end to end, from your own modules to 'import std;' The functional build-system support with real diagnostics. This talk teaches modules the way #include was once taught: with small files, a build, and concrete use cases. Modules stopped being experimental somewhere around 2025. This session builds the mental model from scratch: what a primary module interface unit is, how partitions and implementation units fit together, and, crucially, how import differs from #include in ways that matter day to day. It uses a small library, exposes it as a module, splits it across partitions, consumes import std; and observes the compile-time effect. Then it answers the questions every team hits in week one: how modules interact with macros, with templates in headers, with header-only dependencies, and with a mixed codebase that can't convert everything at once. The examples will be using CMake, clang and recent gcc. You will leave able to structure a small library as a module, explain why a macro didn't cross a module boundary, and plan an incremental adoption that doesn't require converting the whole tree.
Was generating lines of code / upping the commit count the major impediment to delivering stable production ready software?
AI-assisted development has lowered the barrier to churn out code, helped engineers move faster in unfamiliar codebases, and made legacy systems easier to approach. however increased code output does not automatically mean better delivery of more reliable code.
In this talk, we will look at some of the emerging problems that are now becoming evident with AI ***amplifying existing weaknesses** such as code duplication, larger pull requests and the temptation to accept plausible generated changes without sufficient scrutiny . AI does not remove the need for engineering judgment. It removes the friction that used to slow down code creation
We will explore practical lines of defense to effectively reinforce long-term codebase health including stronger pull request descriptions, shared reviewer responsibility, review checklists, and metrics
The goal is not to reject AI. The goal is to ensure that AI improves engineering delivery rather than accelerating technical debt.
Pete Muldoon has been using C++ since 1991. Pete has worked in Ireland, England and the USA and is currently employed by Bloomberg. A consultant for over 20 years prior to joining Bloomberg, Peter has worked on a broad range of projects and code bases in a large number of companies... Read More →
Tuesday September 15, 2026 16:45 - 17:45 MDT Colorado A
