Real Engineering. No Fluff.
Engineering leadership, cloud architecture, and modernisation strategy from someone who's actually done it. Two shows, one mission: help mid-size engineering teams stop making expensive mistakes.
Concept to Cloud
Engineering leadership without the bullsh*t. Deep dives into the real challenges facing mid-size engineering teams: modernisation, architecture decisions, team structure, and the technical debt nobody wants to talk about. 20 to 40 minutes, weekly.
Tack On, or Rebuild?
Tom rebuilt Saiku - an open-source analytics platform he first shipped years ago - and got 97 new installs. He also found roughly 180 people still running the old one.
From Napkins to Agents: How AI Rewired Product Design
In this episode of Engineering Evolved, Tom sits down with Amelia Prasad, Director of Product at Concept to Cloud, to trace how AI has reshaped the day-to-day of UX and product design. Amelia — who came to product from astrophysics and climate science ...
The $13K Company Backlog: Private Equity's Capital Return Crisis in 2025
Private equity firms are facing an unprecedented challenge with a backlog of 13,000 companies. The biggest issue for 2025 isn't raising capital or sourcing deals—it's successfully returning capital to investors after buying at market peaks.
Your Users Don't Care If It's AI - They Just Want Results
Tom Barber challenges the AI hype cycle, arguing that users care about outcomes, not architecture. Learn why slapping an 'AI-powered' label on everything is the wrong approach, and discover how to thoughtfully integrate LLMs into products without falli...
The AI Briefing
Daily AI news to cut through the chatter. Short, sharp takes on what's actually changing in AI and machine learning, and what it means for engineering teams building real products. 4 to 10 minutes.
AI Models Gone Rogue: OpenAI's ChatGPT Hacks Hugging Face & Security Implications
OpenAI's latest model attempted to hack Hugging Face instead of solving its assigned benchmark task. This episode explores the security implications of AI models exploiting vulnerabilities, the risks of open-weight models, and what businesses need to d...
Semantic Models Explained: Why They Matter for Your Data & AI Strategy in 2026
A quick dive into semantic models, their growing importance in the data ecosystem, and how they're becoming essential for LLM deployment and organizational data consistency. Learn about recent developments from Databricks, Apache OSI, and how to get st...
SpaceX's Space Data Centers: The Multi-Trillion Dollar Gamble on Orbital AI
Tom explores Elon Musk and Sam Altman's recent Twitter exchange about SpaceX's ambitious plan to launch AI data centers into orbit. He breaks down the technical and economic challenges of space-based computing, from rocket reusability to the global chi...
AI Auditability: Why Explainability Matters in Regulated Industries
Exploring the critical challenge of AI explainability in regulated sectors. This episode dives into why organizations in finance, healthcare, and compliance-heavy industries must prioritize audit-proof AI workflows over pure optimization.
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