Rethinking the software development process for an era of specs and AI agents
The agentic era of software engineering began almost a year ago. And while much has changed in 2026, there's still a lot that hasn't been settled. One of the most important issues is how teams should ...
17 Syys 38min
Open-weight models: What are they and when should you use them?
We've seen a huge amount of increase in interest around open-weight models in 2026. The reasons for this are multifaceted, ranging from the switch to per token billing, the evolving privacy landscape ...
3 Syys 39min
AI-generated code: What has to be true for us to trust it without looking at it?
We've been thinking a lot recently about the status of code in a world where it's increasingly written and read by AI. Could the spec, for instance, become the primary way we interface with software s...
20 Elo 43min
Scaling the enterprise harness: How to achieve AI agent controllability across an organization
Harness engineering is still a new concept, but already we've noticed a challenge being consistently faced by technology leaders: how can a harness be used at scale across an organization to ensure co...
6 Elo 45min
Embracing hybrid AI: How Lenovo is leveraging local, on-device AI
Cloud was one of the main drivers of the early waves of AI adoption. However, as AI has become more and more embedded in systems and devices — in both consumer and enterprise contexts — it's becoming ...
23 Heinä 30min
What does the future of software engineering look like?
At the end of June, Thoughtworks and Martin Fowler convened an unconference-style event in Switzerland with a range of industry leaders. The aim was to reflect on the current challenges and learning a...
9 Heinä 46min
Database branching: Overcoming the bottlenecks of shared database environments
Database branching has, for a long time, been a troublesome piece in the modern developer workflow puzzle: a good idea in principle but in practice a slow and often expensive challenge. Get it right a...
11 Kesä 39min
