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
What is code?
What is code? It might sound obvious, but if you scratch the surface it becomes more difficult to articulate precisely what we mean. AI is complicating the picture further and changing the relationshi...
25 Kesä 40min
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
What is spec-driven development?
Semantic diffusion, combined with the pace of technology change, makes talking about AI-adjacent practices and techniques incredibly diffficult. There are few better examples of this issue than the te...
28 Touko 45min
What is harness engineering?
'Harness engineering' is one of the most significant terms to emerge in software engineering in 2026. Broadly referring to the work done to control unpredictable AI agents and coding assistants, its u...
14 Touko 40min
