This week, I’m over at Law & Liberty taking a deep dive into how AI will make many aspects of life—including governance—much easier.
The article is in Law & Liberty, an online magazine published by Liberty Fund, which is committed to a society of free and responsible persons living under the rule of law. You can read it at: https://lawliberty.org/forum/from-ballots-to-bots/
Chief Data Scientist
Rachel Lomasky is the Chief Data Scientist at Flux, where she continuously identifies and operationalizes AI so Flux users can understand their codebases. In addition to a PhD in Computer Science, Rachel applies her 15+ years of professional experience to augment generative AI with classic machine learning. She regularly organizes and speaks at AI conferences internationally - keep up with her at her LinkedIn here.
Flux empowers engineering leaders to kick off 2025 with confidence by providing instant, AI-driven insights into codebases, prioritizing critical issues, and streamlining planning for new projects.
AI coding assistants offer exciting potential but bring risks to code quality, learning, ethics, and more, requiring careful integration and oversight.
Effective engineering stakeholder management means creating systems that balance stakeholder demands with developer focus—minimizing interruptions, boosting productivity, and enabling faster, more informed decision-making.
Fragmented code evaluation tools create inefficiencies, increase costs, and reduce developer morale. AI-powered solutions offer a better path forward.
Despite the critical role of software, there is no comprehensive platform for engineering management akin to Salesforce for Sales – but Flux aims to fill that gap.
AI’s regulatory frameworks seem desirable on the surface but become idealistic, contradictory, and impractical upon further examination – check this blog post out in Civitas Outlook.