# Job Published articles for Job. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## AI leaders propose embedded third-party evaluators for frontier AI safety DevFeed: [AI leaders propose embedded third-party evaluators for frontier AI safety]() Original publisher: [Read original article]() Author: Adrian Bridgwater Published: 2026-09-16T15:58:41Z Content type: news Language: en Sources: [The New Stack]() Topics: [Job](), [Artificial Intelligence](), [Frontier AI](), [anthropic](), [AI Models]() Tags: [ai](), [ai-infrastructure](), [ai-strategy](), [alignment](), [anthropic](), [developers](), [frontier-ai](), [google](), [job](), [meta](), [openai](), [safety](), [tech-careers]() ### AI overview The article examines Anthropic CEO Dario Amodei's proposal for frontier AI companies to provide embedded third-party evaluators with employee-like access. These evaluators would verify safety practices, report incidents, and assess AI models, training pipelines, and processes. ### Source excerpt The pace of frontier AI model development spurred Anthropic CEO Dario Amodei to publish an essay last weekend, calling for The post AI evaluator: The most important AI job in history? How developers might fill the proposed new job appeared first on The New Stack. ## Executive Director Search Extended to September 22 DevFeed: [Executive Director Search Extended to September 22]() Original publisher: [Read original article]() Author: Jeff Triplett and the DSF Board Published: 2026-09-16T12:50:40Z Content type: news Language: en Sources: [The Django weblog]() Topics: [Django](), [Open Source](), [Job]() Tags: [2026](), [communication](), [community](), [django](), [framework](), [fundraising](), [job](), [leadership](), [open-source](), [organizational](), [python](), [relationships]() ### AI overview The Django Software Foundation has extended applications for its first Executive Director through September 22, 2026, anywhere on Earth. The role focuses on fundraising, partnerships, operations, and supporting the Django community. ### Source excerpt We are extending the search for the Django Software Foundation's first Executive Director. Applications now close at the end of Tuesday, September 22, 2026, anywhere on Earth (AoE). As long as it is still September 22 somewhere, your application counts. We are happy with the applications we received. We also knew several people had applications in progress, and it took a while for word about the role to reach everyone it should have. Giving people a little more time felt like the fairest option. If you were most of the way there, you have until Tuesday. If you have already applied, this does not slow anything down for you. We are reviewing applications as they come in, and we will reach out to candidates and schedule interviews on the same timeline we planned. The Executive Director will play a central role in helping the DSF grow its capacity and build a sustainable future for the Django project and its community. That includes leading fundraising and partnerships, supporting the Foundation's operations and programs, and working closely with the board, staff, volunteers, and the wider Django community. We are looking for an experienced nonprofit leader who is comfortable taking on a broad role and building things as they go. Fundraising is central to this job. We need someone who is at ease sitting down with companies, making the case for Django, and connecting what the DSF does to what those organizations care about. Much of the Foundation's future depends on growing those relationships and turning them into steady support. You don't need to be a Django or Python expert, and you don't need prior involvement in the Django community. Experience with open source or other community-driven organizations is welcome, but we are primarily looking for someone with strong fundraising instincts, plus leadership, communication, relationship-building, and organizational skills. Could that person be you? If you have been waiting for the right opportunity to step forward, we enc ## The Autonomous Dumbledore DevFeed: [The Autonomous Dumbledore]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-04-25T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [API](), [Job](), [test](), [maintenance](), [Code]() Tags: [api](), [bugs](), [engineering](), [feature](), [fetch](), [job](), [maintenance](), [news](), [running](), [scheduled](), [test](), [tests](), [web-frontend]() ### AI overview An intern at Khan Academy describes the Autonomous Dumbledore, a system that monitors PSAT score-linking endpoints through recurring tests and automatically enables or disables the related feature based on recent results. ### Source excerpt By Evy Kassirer When I arrived at Khan Academy to start my internship on the Official SAT Practice ... Read more ## Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE DevFeed: [Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-09-15T15:00:00Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Federated Learning](), [Docker](), [Kubernetes](), [Nvidia](), [Server](), [dataset](), [Deployment]() Tags: [architecture](), [compute](), [configuration](), [container](), [data-analytics-processing](), [data-science](), [dataset](), [deployment](), [docker](), [docker-container](), [federated-learning](), [gpu](), [job](), [kubernetes](), [nvidia](), [nvidia-flare](), [server]() ### AI overview This article explains how NVIDIA FLARE scales federated learning across sites with different infrastructure, including Docker, Kubernetes, and Slurm. Its two-layer architecture separates persistent federation services from on-demand job execution, while allowing each site to retain local control over compute, data, secrets, and scheduling. ### Source excerpt Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the... ## Why do Microsoft job levels start in the high 50's instead of starting at a sane number like 1? DevFeed: [Why do Microsoft job levels start in the high 50's instead of starting at a sane number like 1?]() Original publisher: [Read original article]() Author: Raymond Chen Published: 2026-09-15T14:00:00Z Content type: opinion Language: en Sources: [Raymond Chen]() Topics: [Job](), [Microsoft]() Tags: [job](), [microsoft](), [old-new-thing](), [other]() ### AI overview The article explains why Microsoft's job levels start in the high 50s. Microsoft renumbered its career levels after dividing broad levels into smaller steps, avoiding confusion between old and new level numbers. ### Source excerpt It used to start at 1, but that was the old system. The post Why do Microsoft job levels start in the high 50's instead of starting at a sane number like 1? appeared first on The Old New Thing. ## Deciding how to progress your career and find work you find interesting/challenging. DevFeed: [Deciding how to progress your career and find work you find interesting/challenging.]() Original publisher: [Read original article]() Author: Peter Lawrey (noreply@blogger.com) Published: 2026-09-12T07:32:17Z Content type: opinion Language: en Sources: [Vanilla Java]() Topics: [Job](), [Learning](), [Artificial Intelligence](), [Code]() Tags: [ai](), [career](), [code](), [job](), [learning](), [opinion](), [work]() ### AI overview An opinion article about progressing in a career by creating growth opportunities within a current role. It recommends teaching others, understanding users and systems, improving quality and efficiency, taking responsibility for outcomes, and focusing on work that AI cannot easily automate. ### Source excerpt When you start a new role, many challenges are placed on you. Once you have been in a role for a while, you may feel like you aren't learning as much, your career isn't progressing, and you wonder what job you might move to next. Having been in that situation many times, my suggestion is that rather than waiting to be given challenges or the next role, you take the opportunity to challenge yourself to grow in your current role. This doesn't mean accepting a role with too little growth, but rather see if there are opportunities to grow while you have some capacity, if you drive them. For example, imagine the roles you would wish to have, how much of that could you be doing now without being asked, possibly in your own time? I am not suggesting doing more unpaid work, rather extending the work you have to benefit your career. Ways to extend your current role to help you grow Teach others. Often, you don't really understand something until you have had to explain it to someone else. Understand the people using your work. Broaden your understanding of the people or systems using what you are producing. How can what you're doing be more efficient, high-quality, more valuable to the end users, and easier to maintain? Take responsibility for a larger part of an outcome. Instead of only producing a piece of work, help define what success means, consider alternatives, check whether it works in practice and learn from what happens afterwards. Say you are working heavily with AI. Explore all the ways it currently fails, rather than sticking to what it does safely. Anything AI does easily now will be increasingly automated, and there probably isn't a future in that. Instead, focus on what AI can't do and where you add value. That is likely to be in demand. Consider two approaches to using AI to write for illustration: 2,000 words of content on a subject (or 200 lines of code @ ~10 words per line). You could prompt it for an answer of about 2,500 words and then edit out anything ## Big Tech Laid Him Off. He Realized He Didn't Need a Job. -- Asian Dad Energy DevFeed: [Big Tech Laid Him Off. He Realized He Didn't Need a Job. -- Asian Dad Energy]() Original publisher: [Read original article]() Author: Daniel Beach Published: 2026-09-09T14:07:55Z Content type: opinion Language: en Sources: [Data Engineering Central]() Topics: [Job](), [future of software](), [Software Engineering](), [Artificial Intelligence](), [cobol](), [mainframes](), [ibm]() Tags: [ai](), [career](), [cobol](), [future-of-software](), [ibm](), [job](), [layoff](), [mainframes](), [software-engineering](), [tech]() ### AI overview A Data Engineering Central Podcast episode features AsianDadEnergy discussing his career from BASIC, IBM 386 systems, and COBOL mainframes to consulting and a chief architect role in Big Tech, followed by a layoff. The conversation covers financial independence, AI's effects on software engineering, communication skills, identity beyond work, and content creation. ### Source excerpt Data Engineering Central Podcast ## Is AI going to steal my job as a design engineer? DevFeed: [Is AI going to steal my job as a design engineer?]() Original publisher: [Read original article]() Author: Freek Van der Herten (freek@spatie.be) Published: 2026-08-25T12:30:28Z Content type: opinion Language: en Sources: [freek.dev - all blogposts]() Topics: [Artificial Intelligence](), [Job]() Tags: [agents](), [ai](), [automation](), [career](), [craft](), [design](), [job]() ### AI overview Tom Wilson reflects on how AI is changing the work of design engineers. He argues that AI agents may take over more scaffolding work, while human judgment, product taste, restraint, and polished visual craft remain important. ### Source excerpt Tom Wilson reflects on what AI is changing for design engineers, and where human judgment still matters. He argues that agents can take over more of the scaffolding work, while product taste, restraint, and polished visual craft remain the real edge. Read more ## How Industry Background Qualifies You for a Forward-Deployed Engineer Role DevFeed: [How Industry Background Qualifies You for a Forward-Deployed Engineer Role]() Original publisher: [Read original article]() Author: Nate Published: 2026-08-23T15:02:42Z Content type: opinion Language: en Sources: [Nate's Substack]() Topics: [Job](), [Artificial Intelligence]() Tags: [ai](), [industry](), [job]() ### AI overview The article discusses the forward-deployed engineer role at AI labs and argues that industry experience can qualify candidates for it. ### Source excerpt The forward-deployed engineer is what every AI lab is hiring while promising autonomy. Your industry background is the part that qualifies you. ## Coroutine Essentials DevFeed: [Coroutine Essentials]() Original publisher: [Read original article]() Author: author@typealias.com (Dave Leeds) Published: 2026-08-21T00:00:00Z Content type: tutorial Language: en Sources: [Dave Leeds on Kotlin - typealias.com]() Topics: [Coroutines](), [Kotlin](), [coding](), [Software]() Tags: [async](), [cancellation](), [coding](), [concurrency](), [coroutine](), [coroutines](), [deferred](), [dispatcher](), [exception-handling](), [introduction](), [job](), [kotlin](), [launch](), [learn-to-program](), [parallelism](), [programming](), [runblocking](), [software](), [structured-concurrency](), [suspend-function](), [withcontext](), [yield]() ### AI overview This tutorial introduces essential Kotlin coroutine concepts for performing multiple tasks concurrently, such as making network calls while updating a screen. It aims to provide a foundation for day-to-day coding and more advanced coroutine concepts. ### Source excerpt When you're on hold during a phone call, you might also check your email. While brewing coffee, you might also cook breakfast. And while driving a car, you might listen to a podcast. In the same way, sometimes it's helpful for the software that we write to do more than one thing at a time. For example, it could make two or three network calls at one time--all while updating the screen to show the progress of each call. ## How dbt works, and why orchestrators shouldn't split it into tasks DevFeed: [How dbt works, and why orchestrators shouldn't split it into tasks]() Original publisher: [Read original article]() Author: Ruben Fiszel Published: 2026-08-20T00:00:00Z Content type: article Language: en Sources: [Windmill Blog]() Topics: [Compiler](), [Job](), [airflow](), [data](), [Command-line interface]() Tags: [airflow](), [bigquery](), [cli](), [dagster](), [data](), [data-pipelines](), [dbt](), [dbt-data-pipelines-airflow-dagster-orchestration](), [job](), [orchestration](), [scheduler](), [series]() ### AI overview This primer explains dbt's architecture and examines five ways teams orchestrate it in production. It argues that running a project as one dbt command, while reading dbt's per-model execution state, is generally more efficient and less fragile than creating one orchestrator task per model. It discusses Dagster and astronomer-cosmos's convergence on this approach, including a reported cost comparison. ### Source excerpt How is dbt actually orchestrated, and why does running it as one job beat one task per model? A primer on dbt as a compiler with a scheduler attached, the five ways teams wrap it, and why both Dagster and astronomer-cosmos converged on a single dbt invocation with per-model state projected out of it. ## Automatically Archive Old NetBox Branches DevFeed: [Automatically Archive Old NetBox Branches]() Original publisher: [Read original article]() Author: Rick Donato Published: 2026-08-14T08:00:15Z Content type: release Language: en Sources: [Packet Coders - Learn Network Automation]() Topics: [NetBox](), [Job](), [Database]() Tags: [automatically](), [daily](), [job](), [netbox](), [reduce](), [release](), [tips]() ### AI overview NetBox Branching v1.1.2 introduces the auto_archive_days setting, which runs a daily background job to archive merged branches older than a specified number of days. Automatic archival is disabled by default, and archived branches cannot be reverted. ### Source excerpt A common question we get from students using NetBox Branching is: How can I automatically remove stale branches from NetBox? Therefore, I thought I'd share the latest addition to NetBox Branching, introduced in v1.1.2. This release adds the auto_archive_days setting, allowing you to automatically ## Inside the Nu Young Apprentice Program 2026 DevFeed: [Inside the Nu Young Apprentice Program 2026]() Original publisher: [Read original article]() Author: Nubank Editorial Published: 2026-07-06T14:00:00Z Content type: article Language: en Sources: [Nubank]() Topics: [Job](), [Learning](), [Process]() Tags: [company](), [customers](), [interviews](), [job](), [learning](), [life-at-nu](), [process]() ### AI overview Nubank's 2026 Young Apprentice Program offers early-career participants opportunities to learn through real projects, collaborate with teams, and take on responsibilities. The article outlines a unified selection process involving a CodeSignal online test, a problem-solving exercise, and leadership interviews. ### Source excerpt Written by: Nubank Editorial 1. The First Step in Your Career Rarely in life does a young person get the chance to start their career at one of the fastest-growing technology companies in the world. Nubank is a dynamic place that moves fast and is always full of real challenges -- exactly the kind of [...] The post Inside the Nu Young Apprentice Program 2026 appeared first on Building Nubank. ## Career Advice for Engineers in the Age of AI Agents DevFeed: [Career Advice for Engineers in the Age of AI Agents]() Original publisher: [Read original article]() Author: Addy Osmani Published: 2026-07-06T00:00:00Z Content type: opinion Language: en Sources: [Addy Osmani]() Topics: [Artificial Intelligence](), [agentic-coding](), [Vibe coding](), [coding](), [LeetCode]() Tags: [agentic-coding](), [ai](), [career](), [coding](), [job](), [vibe-coding]() ### AI overview This commentary argues that AI will make answer-based problem solving and routine software shipping cheaper, while durable career advantages will come from choosing worthwhile problems, building systems, understanding people, judging quality, and developing a strong reputation and relationships. ### Source excerpt AI gets good at anything with an answer key. Your career is everything that doesn't have one. ## How Software Developers Can Use Career Risk to Their Advantage DevFeed: [How Software Developers Can Use Career Risk to Their Advantage]() Original publisher: [Read original article]() Author: Brian Jenney Published: 2026-06-14T23:22:06Z Content type: opinion Language: en Sources: [Brian Jenney]() Topics: [Development](), [Job](), [Software]() Tags: [career](), [developer](), [engineering](), [job](), [junior-developer](), [money](), [software-developer](), [startup](), [stress](), [work]() ### AI overview The article argues that software developers should distinguish between types of career risk and use calculated moves to improve their skills and opportunities. It draws on the author's experience leaving a secure job, becoming a junior developer, and later moving to a startup where learning and salary increased. ### Source excerpt And It's Quietly Killing Your Career ## Personal story about getting a job at Meta DevFeed: [Personal story about getting a job at Meta]() Original publisher: [Read original article]() Author: Hemant Pandey Published: 2026-06-04T14:02:03Z Content type: opinion Language: en Sources: [The Hustling Engineer]() Topics: [Job](), [Meta]() Tags: [job](), [meta]() ### AI overview The article shares a previously unpublished personal story about how the author got a job at Meta. ### Source excerpt Interesting story which I never shared on how I got this job at Meta ## An Amazon Bar Raiser's Guide to Cracking Tech Interviews DevFeed: [An Amazon Bar Raiser's Guide to Cracking Tech Interviews]() Original publisher: [Read original article]() Author: Ashish Pratap Singh Published: 2026-06-04T12:06:04Z Content type: tutorial Language: en Sources: [AlgoMaster Newsletter]() Topics: [Job](), [Process](), [data]() Tags: [evaluation](), [guide](), [interview](), [job](), [leadership](), [process](), [skills](), [tech]() ### AI overview A guest post by an Amazon Senior Engineer and Bar Raiser explains how Amazon technical interviews are conducted and evaluated. It covers structured interviewing, detailed note-taking, follow-up questions, technical and behavioral competencies, problem-solving, communication, ownership, ambiguity, seniority, and Leadership Principles. ### Source excerpt This is a guest post by Apurv Singh, a Senior Engineer and Bar Raiser at Amazon. Having conducted 200+ technical interviews, Apurv shares practical lessons and insights to help you prepare better and crack tech interviews. ## How to Stand Out in a Crowd of 90,000+ Job Seekers DevFeed: [How to Stand Out in a Crowd of 90,000+ Job Seekers]() Original publisher: [Read original article]() Author: Prasad Rao Published: 2026-05-28T18:50:30Z Content type: opinion Language: en Sources: [Big Tech Careers]() Topics: [Tech Careers](), [Job](), [Handshake]() Tags: [2026](), [article](), [careers](), [how-to](), [interview](), [job](), [job-search](), [resume]() ### AI overview This article explains how tech job seekers can stand out in a highly competitive 2026 market. It discusses layoffs, fewer job postings, more applications per role, and the limits of standard tactics such as portal applications and keyword-optimized resumes. It argues that candidates should differentiate themselves through demonstrated impact and other practices described as five actionable areas. ### Source excerpt Five things that are actually moving the needle in 2026. ## Whatnot's Product Culture and the Changing Role of Product Managers DevFeed: [Whatnot's Product Culture and the Changing Role of Product Managers]() Original publisher: [Read original article]() Author: Whatnot Engineering Published: 2026-05-14T16:01:00Z Content type: opinion Language: en Sources: [Whatnot Engineering]() Topics: [Job](), [Software]() Tags: [ai](), [ecommerce](), [industry](), [job](), [leadership](), [people](), [product-management](), [software](), [software-engineering]() ### AI overview Tom Verilli discusses Whatnot's deliberate product culture and argues that the product manager role has become diluted by organizational scale, hiring growth, and management incentives. He suggests that succeeding in an AI-driven industry depends on doing the right product work rather than relying on tools alone. ### Source excerpt Tom Verilli | Chief Product Officer In the last two years, 31,832 people applied to be a Product Manager at Whatnot. We hired one. You're twice as likely to hit a hole in one as you are to get a job by simply applying. That's not a process failure. I've been building products -- and product teams -- for over a decade, and one of the biggest factors in deciding to come to Whatnot ~3 years ago was the very deliberate product culture. No one knows what it means to be a PM in the world of AI, but everything I see says the industry is moving towards us and how we build here -- because no tool will make you useful if you aren't doing the right job. First: we have to acknowledge that the average PM is deeply average. The product function emerged in response to scale -- engineering teams got too big for CEOs or GMs to manage directly, so a business <> tech conduit was needed. Over time, we lazily generalized the role to "every time you hire an Engineering Manager, you hire a PM". But where an Eng Director managed 30-40 people through their EMs, a PM Director just managed five. Incentives govern the world, so those directors' jobs became "justify growing my eng partners headcount" so they could, in turn, grow theirs to become a VP. Slowly, the role of junior PMs shifted from "CEOs of the product" to "babysitters of buttons" and product-minded engineers to infantilized order takers. Then COVID hit, and the industry hired a mind-boggling 500,000 new software engineers in just four years, and ~80,000 new PMs were minted to match. That's 80,000 PMs buried within gargantuan teams at FAANG, far from any customer, 50 layers from the zoom where it happens, taught paint-by-number PM'ing at a product school, in an era of unearned engagement growth where seemingly anything worked. The likelihood of someone emerging from that with great product instincts, experience, and grit actually feels less likely than hitting a hole in one. Second: we made our best, worse. When your job is supervising ## Standalone Activities: Durable job processing, now in Public Preview DevFeed: [Standalone Activities: Durable job processing, now in Public Preview]() Original publisher: [Read original article]() Author: Phil Prasek Published: 2026-05-14T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [Job](), [Cloud](), [observability](), [SDKs](), [API](), [Command-line interface]() Tags: [2](), [api](), [backend](), [cli](), [cloud](), [deployment](), [job](), [observability](), [preview](), [product-news](), [retries]() ### AI overview Temporal announces the Public Preview of Standalone Activities, which provide durable background job processing with retries, observability, and lifecycle controls across most Temporal SDKs and Temporal Cloud. ### Source excerpt Temporal Standalone Activities are now in Public Preview, bringing durable job processing, retries, observability, and lifecycle control to Temporal Cloud. ## Why AI Still Requires Human Delegation and Ownership DevFeed: [Why AI Still Requires Human Delegation and Ownership]() Original publisher: [Read original article]() Author: hi@swizec.com (Swizec Teller) Published: 2026-05-09T00:00:00Z Content type: opinion Language: en Sources: [Swizec Teller]() Topics: [Artificial Intelligence](), [Job](), [context](), [round robin]() Tags: [agents](), [ai](), [delegation](), [job](), [ownership](), [tasks]() ### AI overview The article argues that AI can provide more hands to do work but does not eliminate the human responsibility of managing context, tracking tasks, delegating, and taking ownership of problems and domains. ### Source excerpt On AI, mental load, and delegation ## How corporate politics actually work DevFeed: [How corporate politics actually work]() Original publisher: [Read original article]() Author: Dr Milan Milanović Published: 2026-05-07T15:03:00Z Content type: opinion Language: en Sources: [Tech World With Milan Newsletter]() Topics: [Job](), [meetings]() Tags: [advice](), [corporate](), [engineering](), [hr](), [job](), [manager](), [manipulation](), [mentor](), [relationships](), [remote](), [work]() ### AI overview An interview with former Amazon Vice President Ethan Evans about corporate politics and career advancement. It examines why strong technical work alone may not determine promotions, how managers evaluate visibility and collaboration, the role of influence and relationships, early warning signs before performance-improvement plans, and mentoring in remote teams. ### Source excerpt With Ethan Evans, a former Amazon Vice President. ## hh.ru's Test Framework Experiments for Handling Flaky Tests DevFeed: [hh.ru's Test Framework Experiments for Handling Flaky Tests]() Original publisher: [Read original article]() Author: yzhanov (hh.ru) Published: 2026-05-07T07:10:11Z Content type: article Language: ru Sources: [HeadHunter RU]() Topics: [Jenkins](), [Job](), [ui]() Tags: [flaky](), [hh](), [hh-ru](), [jenkins](), [job](), [qa](), [qa-automation](), [qa-automation-engineer](), [qa-engineer](), [qa-management](), [qa-mobile](), [qa-testing](), [retry](), [tag-4adf7d504f34](), [tag-95a52fc82d81](), [tag-b7f0358ac141](), [tag-e34f6dec12c4](), [tag-e932065bc8da](), [ui]() ### AI overview An hh.ru engineer describes experiments in the test framework to reduce the impact of flaky tests on release automation. One experiment allowed repeated retries until the queue emptied; it added about three minutes to build time and was not adopted in production. ### Source excerpt Привет, Хабр! Меня зовут Юра Жанов, я занимаюсь автоматизацией тестирования в hh.ru. Про flaky-тесты написано много, борьбу с ними не прекращаем и мы. Но сегодня немного о другом -- хочу поделиться нашим опытом минимизации неприятностей, которые наносят такие тесты. Для этого мы провели ряд экспериментов со стороны тестового фреймворка. Читать далее ## Why AI Job Automation Looks Easier in Other Fields DevFeed: [Why AI Job Automation Looks Easier in Other Fields]() Original publisher: [Read original article]() Author: hi@swizec.com (Swizec Teller) Published: 2026-02-16T00:00:00Z Content type: opinion Language: en Sources: [Swizec Teller]() Topics: [Artificial Intelligence](), [Large Language Model](), [Job]() Tags: [ai](), [job](), [llms]() ### AI overview The article introduces "GeLLMan Amnesia," the tendency to notice flaws in LLMs within areas of personal expertise while assuming they can easily automate other people's work. It argues that expertise reveals hidden complexity and that LLMs remain useful tools without fully replacing domain knowledge. ### Source excerpt AI will automate every job except the ones I'm deeply familiar with [Next page]()