Efe Karakus

Efe Karakus

@efekarakus.com

I like sharing what I learn about a career in software engineering. Engineer @ AWS

51 followers152 following25 posts

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Efe Karakus
@efekarakus.com

Afaict this is the argument: 1. Assume we have achieved max superintelligence w/ AI, then humans would be like hamsters in the hamster wheel where we artificially limit ourselves 2. Therefore, we should remove these fake restraints and accept whatever the next wave brings.

Efe Karakus
@efekarakus.com

I disagree because the point of technology is not to remove *all* barriers. In my utopia, technology should increase efficiency as long as it's aligned with endeavors that allow us to flourish as humans. Instead, if it results in our elimination, it's by definition not serving the right end goal.

Efe Karakus
@efekarakus.com

It's interesting that I agree with the "analysis" of Nick Bostrom of what technology is for (efficiency) and what would happen as an end state of achieving peak technology. But I completely disagree (like the host) that this end state represents utopia. This seems like a nightmare to me 😅.

Efe Karakus
@efekarakus.com

He himself says technology itself cannot be an end goal, technology is *for* something else. Yet, he still ends up favoring a world of complete technological efficiency, where every barrier is removed and we achieved maximum plasticity.

Efe Karakus
@efekarakus.com

I wrote down my thoughts and reactions to the “end of programming”. Especially reflecting on the past year or so, on why quality has degraded even though we have such amazing tools boosting productivity at our fingertips. efekarakus.com/2026/09/03/r...

efekarakus.comA retrospective on productivity and (lack?) of quality with coding agentsOn one end of the spectrum, people are achieving tremendous feats of engineering, such as the massive rewrite of Bun from Zig to Rust. Folks are pointing to achievements like this as a preview of the ...
Efe Karakus
@efekarakus.com

Reading Deming from 1978 “a defective part in an automobile is chargeable to management, not to sloppy workmanship. The fault is in the design, not workmanship. Design is the function of management, not of the production worker.” Interpreting this in era of agentic AI:

Efe Karakus
@efekarakus.com

Your coding agent => production worker You => management I don’t blame our agents for the terrible defect rates in our software lately but the engineers and culture in our organization that completely tossed design out of the window.

Efe Karakus
@efekarakus.com

Design is the only path to simplicity that I know of, and simplicity is how classes of bugs are eliminated and our software scales w/ new requirements.

Efe Karakus
@efekarakus.com

✍🎉 We just published lessons from taking AWS DevOps Agent from prototype to preview at re:Invent 2025: aws.amazon.com/blogs/devops... The post focuses on durable mechanisms for building agentic AI products, hope this helps others!

aws.amazon.comFrom AI agent prototype to product: Lessons from building AWS DevOps Agent | Amazon Web ServicesAt re:Invent 2025, Matt Garman announced AWS DevOps Agent, a frontier agent that resolves and proactively prevents incidents, continuously improving reliability and performance. As a member of the Dev...
Efe Karakus
@efekarakus.com

Yay! #AWS DevOps Agent got announced 🎉 I have been working on this multi-agent system for the past few months. In particular, I focused on the incident response capability & surfacing useful information to help repair apps built on AWS. I would love if you give it a spin and hear your feedback!

Efe Karakus reposted

Gergely Orosz
@gergely.pragmaticengineer.com

It bothers me to no extent that the media plays how Klarna whistles Klarna wants to the headlines to say "AI-enabled Klarna" It would have halved its workforce without AI because it overhired 2x in 2020-21 and never corrected till now But this is how they get front pages

Efe Karakus reposted

apenwarr
@apenwarr.ca

Confounding that we have the simultaneous narratives of "AI will replace your jobs for 1/10th the price" in parallel with "there just are not enough people to build fast enough, we need you to work 80% harder." Also, it was exactly the same 15 years ago except replace AI with "outsourcing."

Adam Jacob@adamhjk.me

My friends. This is not a good idea: www.wired.com/story/silico... - take it from every single wisdom tradition in the history of the world. You can love your work, but your work cannot love you back. Have more respect for yourself and your peers. Work hard. Do good work.

wired.comSilicon Valley AI Startups Are Embracing China’s Controversial ‘996’ Work ScheduleIn an industry once known for cushy perks, some founders are now asking staff to commit to a 72-hour weekly schedule. You’re either in or you’re out.

Efe Karakus reposted

Eugene Yan
@eugeneyan.com

Product evals are misunderstood. Many teams think that adding another tool, metric, or llm-as-judge will solve all their problems and save their product. But that just dodges the hard truth and avoids the real work. Here's how to fix your process instead. eugeneyan.com/writing/eval...

eugeneyan.comAn LLM‑as‑Judge Won't Save Your Product—Fixing Your Process WillApplying the scientific method, building via eval-driven development, and monitoring AI output.
Efe Karakus
@efekarakus.com

None became massive homeruns for a multitude of reasons, but the teams behind them loved pushing an *unreasonable* amount for better CX, and customers could feel it too.

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