How AI is changing software development and management
Weekly signalsExpert insightsForesight
Shifting the perspective from automation to collaboration.
Explore Expert Insights ↓The Claude Code team at Anthropic has published how it reviews code now that Claude writes about 90% of the product's code. The stated goal is no longer that a human reads every line, but that total human time on review and on fixing what bad code breaks goes down...
Uber Distinguished Engineer Uday Kiran Medisetty, who leads much of the company's agentic AI work, described how Uber engineering runs with coding agents on The Pragmatic Engineer. CI jobs more than doubled in twelve months, and earlier this year the company declared an internal code red. Its response was to...
Naresh Jain ran a paired experiment, published on Martin Fowler's site, in which coding agents built the same greenfield Java service ten times each, with and without a harness of API contracts, examples, tests and mocks. An independent evaluator ran 178 acceptance tests on every result. The frontier model passed...
Microsoft has cut its forecast for employee spending on Anthropic models by more than a third, from an expected $1 billion or more a year, according to reporting by The Information syndicated on 6 October. In its Cloud and AI division, monthly AI usage caps per employee fell from $100,000...
Addy Osmani, now a member of technical staff at Anthropic after 14 years at Google, has publicly reversed the advice he published two years ago to review every line of generated code. He now says you do not need to read all of it: every change still needs review and...
What we learned from measuring productivity in AI-assisted software development in an industrial study with Basware. The analysis introduces the AI Productivity Triangle to examine how AI shifts engineering effort across efficiency, effectiveness, and sustainability.
Developers describe AI as transformational, yet release frequency, customer value, and revenue per engineer barely move. The usual answer is that we lack good productivity metrics. But the deeper issue is not how we measure productivity — it's where. Through a systems lens, two cases show how local gains get...
AI tools, especially GenAI, are reshaping software development. To ensure effective and sustainable outcomes, software organizations must scale agility from local development teams to business, organizational, and enterprise levels.
Alternative Futures of Software Work is a research initiative exploring how AI is reshaping the practice, organization, and meaning of software development. Run by VTT and the University of Helsinki and funded by Business Finland, the project tracks emerging AI signals weekly, publishes expert insights from researchers and practitioners, and collaborates with Finnish software companies to anticipate the socio-technical shifts now underway.
Software work has significantly evolved over the past decades, and the demand for software professionals has skyrocketed. According to a report published in 2023, Finland was estimated to need 200,000 new software professionals by 2030. However, the development of large language models, has rapidly changed the landscape. In 2026, advanced AI-driven development tools handle routine programming tasks and are about to surpass the skills of even the best programmers.
The breakthrough in AI has also transformed the nature of software work. This creates challenges in terms of employee motivation, well-being, and ensuring organizational competitiveness. The impact of AI on the workplace is not merely technological but constitutes an unpredictable socio-technical shift.
The project investigates the impact of AI on software work and collaborates with companies to develop a vision for sustainable and human-centered software work. Solutions are sought for current challenges such as the skills shortage and workload management, as well as for long-term transformations.
The project enhances participants' ability to anticipate, understand, and prepare for various futures, learn by experimenting with new work methods, and develop skills and competences. Additionally, it provides guidelines for management, HR, and operational teams, and improves companies' ethical and responsibility competencies in the face of the AI revolution. The project supports employee well-being and motivation, encourages creativity and enthusiasm, and strengthens ethical and responsible productivity growth.
