The Pragmatic Engineer
“The Pragmatic Engineer” delves into the intricacies of architecting enterprise-level solutions with a focus on knowledge base infrastructure, generative AI, and data augmentation for machine learning. It explores the challenges of moving beyond static data libraries to interact with living data, emphasizing the importance of understanding over mere indexing. The document discusses the implementation of secure semantic memory layers, multi-tenant pipelines, and the utilization of advanced technologies like Spark, EMR, and Airflow to build fault-tolerant and responsive systems. Additionally, it addresses the significance of context, precision in search mechanisms, and the role of vector embeddings in enhancing semantic understanding.
The Pulse: What can we learn from Bun’s rapid Rust rewrite with AI?
A rewrite done in 11 days that would have taken a small team a year to complete, for $165K in tokens. Also: coding LLM “wars” heat up, AI fakers from North Korea still a problem when hiring, and more
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The Pragmatic Engineer AMA
In this AMA episode, Gergely Orosz answers listener questions on AI, engineering, hiring, and careers.
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Tech jobs market in 2026, part 3: hiring managers & job seekers
The market where nobody finds each other, the hottest market for AI-related positions, tough for engineering leaders, and more. Based on details from 50+ hiring managers & job seekers
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How Kent Beck shapes the software engineering industry
Kent Beck reflects on Agile, TDD, and why building trust—not just generating code—will define the future of software engineering in the AI era.
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Impressions from visiting OpenAI, Anthropic, & Cursor
A peek into where software engineering is headed from inside the sector’s leading AI labs. Agents running in the cloud are a major trend, while coding harnesses are spreading beyond the craft
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Tech interviews with NeetCode
NeetCode shares his journey from Amazon and Google to building a startup, and why deep expertise still matters in the age of AI.
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Slow down to speed up: so much has changed in 6 months’ time
An overview of what’s changed in engineering during the last six months, how various tech companies are changing how they work, and why slowing down could be a sensible strategy
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The Pulse: Big implications of US banning Anthropic’s new model, Fable
Also: a follow-up on Meta destroying its own engineering culture, the SpaceX IPO, SpaceX buys Cursor, Cursor’s GitHub competitor, and more.
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CI/CD with Robert Erez
Robert Erez of Octopus Deploy joins me to discuss Kubernetes, GitOps, progressive delivery, AI in CI/CD, and the evolving practices behind modern software delivery.
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Why is Meta destroying its engineering organization?
Leadership at the social media giant has been on an AI-fueled rampage through its engineering org. We report what’s happened
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The Pulse: Did Anthropic’s new model just boost rival Codex’s market share?
Anthropic’s new model, Fable, has restrictions many users find unacceptable. Also: a new trend of smart model routing, Coinbase’s core service has no automatic cross-zone failover, and more.
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State of the software engineering job market in 2026, part 2
Deepdive into the tech jobs market with exclusive data revealing AI labs are more attractive than Big Tech, native mobile & frontend roles are declining, management’s “great flattening”, and more
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