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Deep Engineering #30: Kevlin Henney on TDD in the AI Era

Misconceptions, design pressure, legacy code, language cultures, and why testing & review—not tools or AI—should drive TDD.
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Rethinking Test-Driven Development for the AI Era: A Conversation with Kevlin Henney
On misconceptions, design pressure, legacy code, language cultures, and why testing and review skills—not tools or AI—will shape how teams use TDD.
 • Divya Anne Selvaraj and Kevlin Henney
Deep Engineering #29: Imran Ahmad on Architecting Real-World AI Systems
What it takes to move AI from demo to durable systems—architecture, agents, and ops.
 • Divya Anne Selvaraj and Imran Ahmad
Fundamentals of AI System Architecture
The complete "Chapter 1: Fundamentals of AI System Architecture" from the book, Architecting AI Software Systems by Richard D Avila and Imran Ahmad
 • Imran Ahmad and Richard D Avila
Architecting AI Software Systems for the Real World: A Conversation with Imran Ahmad
Designing scalable, sustainable AI—from lab prototypes to production systems
 • Divya Anne Selvaraj and Imran Ahmad
Deep Engineering #28: Sam Keen on Making AI Agents Remember
How AI agents remember, forget, and relearn: from enterprise memory trilemmas to hybrid architectures and real-world tools.
 • Divya Anne Selvaraj and Sam Keen
Implicit Memory Systems for LLMs
When Code Surrenders to Context
 • Sam Keen
Merkle Trees and Anti-Entropy — Concepts and Implementation
How Distributed Systems Like Cassandra and DynamoDB Stay Consistent at Scale — And How You Can Build It Too
 • Archit Agarwal
Deep Engineering #27: Amar Akshat on Agentic Architecture and Trustworthy AI
How Paysafe’s SVP of Architecture puts AI in the payments path—using cells, prompts-as-code, and confidence routing.
 • Divya Anne Selvaraj and Amar Akshat

Interviews

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Rethinking Test-Driven Development for the AI Era: A Conversation with Kevlin Henney
On misconceptions, design pressure, legacy code, language cultures, and why testing and review skills—not tools or AI—will shape how teams use TDD.
 • Divya Anne Selvaraj and Kevlin Henney
Architecting AI Software Systems for the Real World: A Conversation with Imran Ahmad
Designing scalable, sustainable AI—from lab prototypes to production systems
 • Divya Anne Selvaraj and Imran Ahmad
Architecting AI-Native Platforms in the Real World: A Conversation with Amar Akshat
Agentic architecture, cell-based boundaries, and prompts-as-code for reliable, auditable AI in payments and wallets
 • Divya Anne Selvaraj and Amar Akshat
Mastering GitHub in the Real World: A Conversation with Ayodeji Ayodele
Scaling collaboration and CI/CD on GitHub—branch protections, rule sets, inner source, and Copilot-powered workflows that boost delivery without…
 • Divya Anne Selvaraj and Ayodeji Ayodele
From Enablement to Reliability: How Platform Engineering Aligns with SRE Goals – A conversation with Sean P Alvarez and Ajay Chankramath
On distinguishing SRE from Platform Engineering, building developer-first platforms, and the practical lessons behind treating platforms as products.
 • Sushma Reddy, Srishti Seth, AJ Chan, and Sean Alvarez
Pragmatic Clean Architecture in Python: A Conversation with Sam Keen
Applying DDD and the dependency rule in real-world Python—keeping frameworks at the edge, modeling with dataclasses/Pydantic, and using AI without…
 • Divya Anne Selvaraj and Sam Keen
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