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.

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The Pulse: We need to talk about migrations with AI

Asana completed a testing framework migration in two weeks, that they would have delayed for years more, and they’re not alone. Also: AI startups could make Gartner much less relevant, and more

From Chrome DevTools to AI Engineering, with Addy Osmani

The Pragmatic Engineer

Addy Osmani shares lessons from 14 years at Google and how AI agents are reshaping software engineering, developer workflows, and the skills engineers need to succeed.

Headed for the Exit: the Great Engineering Leader Career Break

The Pragmatic Engineer

Trend: more CTOs, VPEs, and Heads of Engineering are walking away from their high-status, in-demand positions. There are many reasons, mostly related to AI, and to "founder mode"

The Pulse: Meta’s self-inflicted resignation-wave

The Pragmatic Engineer

The social media giant is offering $1M+ retainer equity grants to staff who are leaving: and even this is not effective. Also: is Grok Bot the “OpenClaw moment” for managed AI agents?

Stop being skeptical about AI for development with Charity Majors

The Pragmatic Engineer

In 2025, it was rational to be skeptical about AI. In 2026, it's not, anymore. With Charity Majors, CTO and co-founder of Honeycomb.

Software engineering at a proprietary trading company: Optiver

The Pragmatic Engineer

A shift from a focus on latency to building better AI models, owning the full stack from applications to building custom hardware, very different incentives to most tech companies in play, and more

Formal methods with Hillel Wayne

The Pragmatic Engineer

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.

How building software is changing at Anthropic

The Pragmatic Engineer

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

The Pulse: Quitting Spotify Podcasts over reliability

The Pragmatic Engineer

Also: Chinese open models match closed ones from Anthropic and OpenAI, AWS’s “heart-attack” billing error, and more

Pushing software engineering limits with “napkin math”

The Pragmatic Engineer

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

The Pulse: Grok’s CLI caught uploading all your local files to the cloud

The Pragmatic Engineer

Also: engineering leaders concerned about continued increase in code review load, devs at enterprises surprised by high enterprise pricing, and more

Context engineering with Dex Horthy

The Pragmatic Engineer

Dex Horthy explains why context engineering is key to building more effective AI-assisted software without sacrificing code quality.