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.
Formal methods with Hillel Wayne
Hillel Wayne explains why formal methods like TLA+ matter, how they help build reliable software, and whether AI will finally bring formal verification into the mainstream.
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How building software is changing at Anthropic
A deepdive on what’s changed in how the leading AI lab makes software. Ever more code review and testing is done by AI, two-pizza teams very much alive, and more. Details from inside of Anthropic
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The Pulse: Quitting Spotify Podcasts over reliability
Also: Chinese open models match closed ones from Anthropic and OpenAI, AWS’s “heart-attack” billing error, and more
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Pushing software engineering limits with “napkin math”
Turbopuffer cofounder Simon Eskildsen on the benefits of longer tenure, using first principles to build durable software – and why founders should be cautious when raising VC money
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The Pulse: Grok’s CLI caught uploading all your local files to the cloud
Also: engineering leaders concerned about continued increase in code review load, devs at enterprises surprised by high enterprise pricing, and more
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Context engineering with Dex Horthy
Dex Horthy explains why context engineering is key to building more effective AI-assisted software without sacrificing code quality.
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What is “loop engineering?”
There’s talk about loop engineering, but what is it exactly? I looked into it, and found triggers, cron jobs, AI slop & more. Is it a “here today, gone tomorrow” trend?
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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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