We are a tech consultancy whose mission is to create an extraordinary impact on the world through our culture and technology excellence.
Better data leads to better decisions.
Better decisions lead to better outcomes.
Better outcomes require better data products.
Amy Raygada’s Data Products Volume 1 is a practical guide to building the foundations AI depends on.
Get your copy and start turning data into outcomes your organization can trust: https://www.thoughtworks.com/insights/books/data-products-vol-1
As systems grow, business logic often gets buried under APIs and infrastructure complexity.
Using a pizza delivery app, Kinle Greshka explains how hexagonal architecture helps teams keep core logic clean, testable and adaptable.
Over 50% of consumers plan to use AI shopping assistants.
Only 11% of retailers are ready to scale.
That gap isn’t about ambition.
It’s about foundations.
Fragmented data. Inconsistent catalogs. Systems built for pages, not decisions.
AI doesn’t work around that.
It filters it out.
Read The retailer’s survival guide to autonomous AI shoppers for a practical look at the foundations retailers need before autonomous shoppers arrive at scale: https://www.thoughtworks.com/insights/articles/guide-to-autonomous-ai-shoppers
SRE transformed how we manage distributed systems. But as systems become increasingly autonomous, is the current model enough?
Zichuan Xiong explores why AI and agents are driving the next evolution of SRE.
👉 https://www.thoughtworks.com/insights/blog/generative-ai/sre--is-entering-a-paradigm-shift
We nearly scaled a vibe-coded AI video app to 150 marketers. Then the AI suggested making a storage bucket public and granting excessive permissions.
In The VibeSec Reckoning, Thoughtworks shares why “be secure” prompts aren't enough.
📖 Read more:https://martinfowler.com/articles/vibesec-reckoning.html
Tech to Know | May Edition 💡
AI is moving fast. Reliability needs to keep up.
Explore insights on harness engineering, AI value delivery, modern data platforms and sustainability reporting.
t’s now time, argues Rav Hayer, for the financial sector to transform and rewire the infrastructure it needs to continue to secure critical financial systems and unlock the agility needed to deliver for customers with AI.
👉
Organizations today are drowning in dashboards but starving for clarity.
Silvia Baroni explores why observability is more than monitoring, it’s a leadership choice that helps teams understand why failures happen and act faster.
Managing access controls and audit logs across three different services?
There's a better way. 🛑
In part two of our blog series, we explain how the Unity Catalog seamlessly absorbs the operational database.
By pointing Spotify's Backstage at Databricks Lakebase, we didn't just change where the data lived, we changed where the access policy lived, providing a single, unified audit trail out of the box.
Dive into part two here: https://www.thoughtworks.com/insights/blog/data-engineering/backstage-databricks-lakebase-operational-database-unity-catalog
AI-ready data isn’t just the foundation for AI, agentic AI can now help improve data quality itself.
Tiankai Feng and Kiran Prakash explore how AI agents can accelerate data management while humans stay in control of governance.
👉 https://www.thoughtworks.com/insights/articles/agentic_ai_for_data_management
What happens when Martin Fowler and Kent Beck sit down to talk about AI, Agile and the future of software engineering?
A candid conversation on feedback loops, developer craft, AI workflows and why understanding people still matters most.
🎥 Watch now 👉 https://www.youtube.com/watch?v=ii_rLjQfjp0&list=PLEx5khR4g7PINwOsYrkwz3lTTJUYoXC53
AI coding assistants can write code faster than humans can review it.
Vineet Desai explores a practical workflow using milestones, review gates and living context files to keep AI-assisted development stable, reviewable and trustworthy.
Modernizing legacy APIs isn’t just about rewriting code, it’s about rediscovering intent.
Thoughtworks used a deterministic AI-assisted framework to migrate 370 controllers in 3 months, boosting migration velocity by 300%+.
AI adoption isn’t just a technology challenge, it’s a risk management challenge.
Sunit Parekh outlines a practical framework for categorizing enterprise AI use cases, balancing innovation with governance, guardrails and real-world business risk.
👉 https://www.thoughtworks.com/insights/blog/generative-ai/navigating-ai-imperative-strategic-framework-for-ai-enterprise-adoption
Most AI conversations focus on productivity. This one focuses on independence.
Matthew Johnston, Manas Shukla and Katy White explore how agentic AI could improve accessibility for millions.
AI should augment human capabilities, not replace the work we do best.
In their new article, Jackeline Gonzales and Tiankai Feng explore where agentic AI adds the most value in product development, and which tasks are better left to humans.
🤝 Explore the full insights and reimagine your human-AI product partnership:
📖: https://www.thoughtworks.com/insights/articles/how-agentic-ai-will-change
Designing for diverse users isn’t about one-size-fits-all.
Pawan Prasad and Tuhin Chakraborty explore how to balance scale and personalization with an Optimally Unified Platform building systems that adapt without fragmenting.
