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AI Tooling for Software Engineers in 2026
Claude Code dominates tool usage, leaders are more positive about AI than engineers, staff+ engineers are the biggest users of AI agents, and more…
Mar 3
•
Gergely Orosz
and
Elin Nilsson
313
10
18
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Designing Data-Intensive Applications: The Cloud & Doing the Right Thing
How the cloud changes the way we build applications, and why engineers’ ethical choices matter more than ever. Excerpt from the book, ‘Designing…
8 hrs ago
•
Gergely Orosz
227
7
The Pulse: AI load breaks GitHub – why not other vendors?
Also: Anthropic’s speed run to break devs’ goodwill, big price increases from GitHub Copilot, Mitchell Hashimoto on the “building block economy,” and…
Apr 30
•
Gergely Orosz
76
4
Building Pi, and what makes self-modifying software so fascinating
Mario Zechner, creator of Pi, joins Armin Ronacher to explore AI coding’s limits, arguing that human judgment still matters most in an agent-driven…
Apr 29
•
Gergely Orosz
111
3
13
1:33:07
How will AI change operating systems? Part 1: Ubuntu and Linux
A deepdive with the Canonical team into how AI is changing Ubuntu, why they’re betting on local-first LLMs, and a look into other Linux distributions
Apr 28
•
Gergely Orosz
170
7
The Pulse: AI token spending out of control – what’s next?
Details from 15 tech companies on the rapid growth of token spend, and their responses to it. Also: AI vendors can’t keep up with demand, plummeting…
Apr 23
•
Gergely Orosz
97
2
1
Designing Data-intensive Applications with Martin Kleppmann
Martin Kleppmann on scaling, his updated Designing Data-Intensive Applications, and what’s next for AI-era systems.
Apr 22
•
Gergely Orosz
204
12
1:25:00
Learnings from conducting ~1,000 interviews at Amazon
Steve Huynh, formerly Principal Engineer at Amazon, shares observations from 10+ years of interviewing software engineers, and an excerpt from his new…
Apr 21
•
Gergely Orosz
and
Steve Huynh
265
2
14
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