/Birgitta Böckeler

Expanding The Solution Size With Multi-File Editing tl;dr: “A very powerful new coding assistance feature made its way into GitHub Copilot at the end of October. This new “multi-file editing” capability expands the scope of AI assistance from small, localized suggestions to larger implementations across multiple files. Previously, developers could rely on Copilot for minor assistance, such as generating a few lines of code within a single method. Now, the tool can tackle larger tasks, simultaneously editing multiple files and implementing several steps of a larger plan. This represents a step change for coding assistance workflows.”

featured in #568


Onboarding To A ‘Legacy' Codebase With The Help Of AI tl;dr: “To get an idea for how well this works and what the potential is, I picked an issue of the open source project Bahmni and tried to understand the issue and what needs to be done with the help of AI. Bahmni is built on top of OpenMRS, which has been around for a very long time. OpenMRS and Bahmni are good examples of very large codebases with a lot of tech debt, representing a lot of different styles and technologies over time.” Birgitta shares her observations about what AI could and could not help with in such a use case.

featured in #542


On Pair Programming tl;dr: At its core, pair programming builds skills that "help immensely to become a well-functioning, collaborative and effective team," such as valuable qualities i.e. focus, communication, giving and receiving feedback, empathy and vulnerability.

featured in #170