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Deep Engineering #58: Sebastian Hassinger on Where Quantum Progress is Real
Encoding ratios, code distance, and the unsolved physics underneath vendor roadmaps. Plus where quantum pays off first and how a classical developer…
Aug 6
•
Saqib Jan
5
1
Materials Science Gets Real Value From Quantum Before Anything Else
Small molecule chemistry follows close behind. Optimization, cryptography, and machine learning all need thousands of logical qubits, so those sit much…
Aug 6
•
Saqib Jan
and
Sebastian Hassinger
Eighty Years of Boolean Thinking Is the Real Barrier to Quantum Adoption
The hardware is not the hard part for enterprises. Recasting business problems in quantum terms means unlearning assumptions about problem solving that…
Aug 6
•
Saqib Jan
and
Sebastian Hassinger
Quantum Computing Beyond the Hype with Sebastian Hassinger
How to tell genuine quantum progress from hype, why qubit count misleads, where the technology delivers value first, and how a classical developer…
Aug 5
•
Saqib Jan
and
Sebastian Hassinger
1
Python Developers Can Learn Quantum Computing by Fixing Bugs
Most quantum programming happens in Python, and the fastest way in for a working developer is contributing to the packages themselves rather than…
Aug 5
•
Saqib Jan
and
Sebastian Hassinger
July 2026
Deep Engineering #57: Rory Preddy on Cutting Agent Costs Without Ranking Engineers
Agent profiles as shared infrastructure, spend caps inside the authorization boundary, and the metric that replaces tokens burned
Jul 30
•
Saqib Jan
7
I burned 51 million tokens on one merge conflict, and the model was not the problem
Cache the prefix, compact the context, route to the smallest model that fits, and put a ceiling on every loop
Jul 30
Site Reliability Engineer (SRE) Interviews Measure a Depreciating Skill
Notable engineering leaders on motivation, ambiguity, tribal knowledge and the measurement problem behind every reliability hire that did not work out
Jul 29
•
Saqib Jan
1
Deep Engineering #56: Peter Zaitsev on Choosing a Database Like You Can Never Leave It
Database choice is the decision teams rush most and regret longest, because a database is far easier to adopt than it is to leave.
Jul 23
•
Saqib Jan
and
Peter Zaitsev
2
Codex as a Teammate, Not Autocomplete
The developers who get the most from an AI coding agent don't prompt better. They scope better, test better, and review better.
Jul 23
Database Choice, Lock-In, and the AI Rush with Peter Zaitsev
On why nobody owning Postgres became its advantage, the labels that sell you proprietary software, and what self-hosting costs once AI speeds up…
Jul 23
•
Saqib Jan
So Your Demo Is Lying to You
The gap between an impressive AI demo and a trustworthy production system is structural and measurable. You close it with architecture, not hope.
Jul 16
•
Imran Ahmad
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