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: a trend of trying to cut back on AI spend within eng departments?

Top-down and bottom-up efforts to rationalize AI token spend, interesting AI coding stats from Cursor, GCP suspends $2M/month customer without warning, and more

Building OpenCode with Dax Raad

The Pragmatic Engineer

Dax Raad, co-founder of OpenCode, joins the show to discuss their explosive growth, the limits of AI coding tools, and why engineering judgment still matters.

State of the software engineering job market in 2026

The Pragmatic Engineer

A deepdive into today’s tech jobs market, with exclusive data on software engineering jobs, the AI engineering boom, whether AI engineering is “replacing” software engineering hiring, and more

The Pulse: Antigravity 2.0 takes ‘IDE’ out of its new IDE

The Pragmatic Engineer

Negative feedback greets Google’s redesigned AI IDE, why Google’s product ecosystem is so chaotic, Meta cuts 10% of staff as it hits record revenue and profits, and more

Why Rust is different, with Alice Ryhl

The Pragmatic Engineer

Alice Ryhl from Google’s Android Rust team explains why developers love Rust, and what makes the language so powerful for building reliable software.

AI’s impact on software engineers in 2026: key trends, Part 2

The Pragmatic Engineer

Tradeoffs of AI tooling, why adopting AI at company-level is hard, what’s changed in two years, and more. The third and final part of a series analyzing our 2026 AI survey results

The Pulse: Forward deployed engineering heats up again

The Pragmatic Engineer

Also: a look into rising tech job losses, self-reporting 100% AI usage at big companies, vibe coding & agentic engineering merging, and more

TypeScript, C# and Turbo Pascal with Anders Hejlsberg

The Pragmatic Engineer

Anders Hejlsberg reflects on building Turbo Pascal, C, and TypeScript, and shares what AI may change about the future of software engineering.

Revisiting “No Silver Bullets” in the age of AI

The Pragmatic Engineer

Does the noted “No Silver Bullets” paper by the author of a classic engineering book still hold up, 40 years later? Is AI the long-sought single silver bullet – or has one been around for years?

The Pulse: Did capacity shortages turn Anthropic hostile to devs?

The Pragmatic Engineer

Also: Amazon finally allows engineers to use Claude Code and Codex, Meta forcefully assigns engineers to data labelling work ahead of layoffs, more small “AI-forward” teams, and more

Designing Data-Intensive Applications: The Cloud & Doing the Right Thing

The Pragmatic Engineer

How the cloud changes the way we build applications, and why engineers’ ethical choices matter more than ever. Excerpt from the book, ‘Designing Data-Intensive Applications’, 2nd edition

The Pulse: AI load breaks GitHub – why not other vendors?

The Pragmatic Engineer

Also: Anthropic’s speed run to break devs’ goodwill, big price increases from GitHub Copilot, Mitchell Hashimoto on the “building block economy,” and more