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Deep Engineering #49: David Knickerbocker on Open Source Intelligence and Real-World AI Systems

Why messy, contradictory data changes how engineers should think about retrieval, judgment, and production AI
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Recent posts

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Compute Obsession Is Slowing Down AI Systems
Why data movement costs more than computation and what most engineers building AI systems are getting wrong because of it
 • Saqib Jan and Jim Ledin
Deep Engineering #48: Erik Wilde on Agent-Ready APIs, Widespread MCP Adoption, and the OpenAPI Standards That Matter
On the abstraction level problem, the limits of linting, and why investing in your API foundation matters more than chasing the current delivery…
 • Saqib Jan and Erik Wilde
Building Agent-Ready APIs in Production with Erik Wilde
On OpenAPI 3.2, agent-ready APIs, and why MCP might not be the answer you think it is
 • Saqib Jan and Erik Wilde
Why Senior Engineers Fail System Design Interviews
Scoping, adaptability, and being exceedingly clear matter more than just knowing your tech stack in system design interviews.
 • Saqib Jan and Archit Agarwal
Rust Is Hard for the Engineers with the Most Experience
On the unlearning problem that trips up experienced engineers and the production payoff that makes it worth it
 • Saqib Jan and Francesco Ciulla
Deep Engineering #47: Evan Williams on Why Experienced Developers Have the Hardest Time Learning Rust
On the borrow checker as a design tool, the object-oriented trap, and why the engineers who struggle most with Rust are often the most experienced ones
 • Saqib Jan
Design Patterns, Ownership Models, and Building Resilient Systems in Rust with Evan Williams
Why experienced developers have the hardest time, and what that tells you about the language
 • Saqib Jan
Deep Engineering #46: Jim Ledin on Modern Computer Architecture and the AI Infrastructure Layer
Memory bandwidth, GPU trade-offs, and the infrastructure decisions that determine whether AI systems are resilient up in production
 • Saqib Jan and Jim Ledin

Interviews

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Building Agent-Ready APIs in Production with Erik Wilde
On OpenAPI 3.2, agent-ready APIs, and why MCP might not be the answer you think it is
 • Saqib Jan and Erik Wilde
Design Patterns, Ownership Models, and Building Resilient Systems in Rust with Evan Williams
Why experienced developers have the hardest time, and what that tells you about the language
 • Saqib Jan
Computer Architecture in an AI-accelerated World with Jim Ledin
On memory hierarchies, GPU mechanics, hardware abstractions, and what engineers get wrong by ignoring the hardware layer
 • Saqib Jan and Jim Ledin
Clean C++ Code, and the Hidden Cost of Complexity with Sándor Dargó
On C++26, cognitive load, and the hidden price of clever code
 • Saqib Jan
Knowledge Graphs, GraphRAG, and Real-Time AI in Production with David Knickerbocker
Intentional engineering, living knowledge graphs, and why similarity is not the same as truth
 • Saqib Jan
Small Language Models and the Future of Production AI with Karun Thankachan
When general-purpose LLMs are overkill, small language models trained on specific tasks may be the smarter bet
 • Divya Anne Selvaraj
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