Thoughtworks Technology Podcast

A first-hand look at building an agentic platform at Splio

Data products, data agents and semantic layers: Exploring Microsoft Fabric

Data as a product represents an architectural shift toward self-contained, independently deployable units that bundle transformation code, metadata, and access policies. This framework is essential for the AI era, where conversational agents serve as autonomous consumers that formulate their own queries. Relying on pla...

Rethinking the software development process for an era of specs and AI agents

Open-weight models: What are they and when should you use them?

AI-generated code: What has to be true for us to trust it without looking at it?

The necessity of human-readable code in an AI-driven future remains a point of contention among technology leaders. While some argue that code will become an obsolete intermediary by 2028, replaced by direct specification-to-binary generation, others maintain that manual code review is essential for safety-critical sys...

Scaling the enterprise harness: How to achieve AI agent controllability across an organization

Embracing hybrid AI: How Lenovo is leveraging local, on-device AI

What does the future of software engineering look like?

What does code mean in 2026?

Database branching: Overcoming the bottlenecks of shared database environments

What is spec-driven development?

Spec-driven development functions as a workflow-centric approach to software engineering, utilizing AI agents to translate well-defined specifications into code. Rather than focusing solely on tools, successful implementation requires a fundamental shift in team behavior and process, ensuring that requirements, plannin...

What is harness engineering?

Anthropic Mythos: Hype, reality and the actual security implications

Key themes in Technology Radar Vol.34

The latest edition of the Thoughtworks Technology Radar centers on the rapid evolution of AI-driven development and the resulting challenges for enterprise software engineering. As coding agents accelerate the pace of innovation, teams face "semantic diffusion" and the difficulty of evaluating tools that are often too ...

How it feels to be a software engineer when AI is changing our relationship with code

Be brilliant at the basics: Inside Looking Glass 2026

Durable computing: What is it and why now?

Inside AI/works™: An agentic development platform

Unlearning, experimentation and engineering rigor in an agentic world

Exploring AI agent platforms

The podcast explores the concept of building AI agent platforms, emphasizing practical implementation and benefits. It defines an AI agent as something with the autonomy to impact the real world and make semi-autonomous decisions. A platform is defined as a set of self-service APIs, tools, services, knowledge, and supp...