Productivity
fromMountaingoatsoftware
4 hours agoWhy Smart Teams Overcommit And How Leaders Make It Worse
Leaders should avoid pressuring teams into overcommitting, as teams often do this themselves due to their inherent optimism.
Dhruv Amin stated, 'We built a mobile app primarily to let our users who are building iOS apps preview their own app on their own device while developing it. [We] had no problems through December. Post December, we and everyone else in the category started getting our updates blocked.'
I got a degree from Douglas College in programming and business management. I understood the business side more and was better at that than at being a coder.
A global survey of 2,039 Java developers published today finds 63% reporting that dead and unused code adversely affects their team's productivity, with 22% describing the impact of that technical debt as being severe. Conducted by Dimensional Research on behalf of Azul, a provider of a distribution of OpenJDK, the survey also finds that more than half (56%) now deal with a Common Vulnerability and Exposure (CVE) involving Java on a daily or weekly basis.
So it was 2020, prime time of COVID, and I was feeling a little bit unsure what I wanted to do with my life. I was still, at the time, sophomore in college, sent home halfway through university. And one of my friends had been sharing that she was working on a mobile app around biking. I basically contacted her. We decided to work together, and from there really grew from working and contributing as an intern, to founding engineer.
This extends to the software development community, which is seeing a near-ubiquitous presence of AI-coding assistants as teams face pressures to generate more output in less time. While the huge spike in efficiencies greatly helps them, these teams too often fail to incorporate adequate safety controls and practices into AI deployments. The resulting risks leave their organizations exposed, and developers will struggle to backtrack in tracing and identifying where - and how - a security gap occurred.
Olimpiu Pop: Hello everybody. I'm Olimpiu Pop, an InfoQ editor, and I have in front of me Erica Pisani, one of the track hosts of QCon London 2025, and a very important track in my opinion. One that is important in general, but even more important these days. And the name of the track was performance and sustainability, which seems to be two opposing words. So, Erica, please introduce yourself.
We build production platforms with AI every day, and we work with teams doing the same with their own stack -Cursor, Claude Code, Copilot. The difference shows up fast. By day two, some codebases are already harder to change than they were yesterday. Others keep getting easier. The difference is never the model. It's what the code lands in. The teams we work with that hit a wall? It's always the same story.
The recently updated SWEBOK Guide v4.0a represents a needful industry standard, following a thorough peer review and a consensus-based approach. With the rise of AI, a significant skills gap in IT and cybersecurity is emerging alongside changes in the global workforce. There has never been a greater need for a consensus-based framework. This guide, created and thoroughly reviewed by industry professionals, serves as a dynamic and evolving resource.