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How engineers at Nextdoor use Codex with GPT-5.5 to investigate hard-to-reproduce issues, build across platforms, and focus on product outcomes.

How engineers at Nextdoor use Codex to build without limits

OpenAI
OpenAI · 2026-06-09T12:00:00Z

Stéphane Di Cesare and Cat Morris share how engineers can move from being a "cost center" to a value driver using product discovery. They explain the "Double Diamond" framework and why identifying...

Presentation: Product Thinking for Cloud Native Engineers

InfoQ
InfoQ · 2026-05-18T10:06:00Z

Pinterest identified and resolved CPU starvation issues that affected machine learning training jobs on its Kubernetes-based platform, PinCompute. The engineers traced the problem to an unused...

Pinterest Engineers Eliminate CPU Zombies to Resolve Production Bottlenecks

InfoQ
InfoQ · 2026-05-14T10:00:00Z

Wayne Bell and Dan Gomez Blanco discuss the architectural and cultural shift required to scale observability at Skyscanner. They share how moving to OpenTelemetry decoupled instrumentation from...

Presentation: Building a Future-Proof Observability Platform to Empower Engineers

InfoQ
InfoQ · 2026-04-27T13:14:00Z

Discord engineering detailed how they added distributed tracing to Elixir's actor model. Their custom Transport library wraps messages with trace context and uses dynamic sampling to handle...

Discord Engineers Add Distributed Tracing to Elixir's Actor Model Without Performance Penalty

InfoQ
InfoQ · 2026-03-28T10:13:00Z

Stripe engineers describe Minions, autonomous coding agents generating over 1,300 pull requests per week. Tasks can originate from Slack, bug reports, or feature requests. Using LLMs, blueprints,...

Stripe Engineers Deploy Minions, Autonomous Agents Producing Thousands of Pull Requests Weekly

InfoQ
InfoQ · 2026-03-20T14:26:00Z

I'm looking for a name or attempts to document a particular thought patten used by most experienced engineers when they debug. Most experienced engineers develop a sense of hierarchy for what is...

Is there a name for the hierarchy of "trustworthiness" many engineers use while debugging?

Hot Monthly Questions - Software Engineering Stack Exchange
Hot Monthly Questions - Software Engineering Stack Exchange · 2025-11-14T12:27:46Z

By: Molly StruveNetflix’s mission to provide seamless entertainment to hundreds of millions of users globally demands exceptional reliability. At the heart of this reliability is how we handle...

Empowering Netflix Engineers with Incident Management

Netflix TechBlog
Netflix TechBlog · 2025-09-19T16:48:00Z

At ACL 2025, a paper by Bloomberg's AI engineers aims to improve the efficiency of agentic tool calling, while a workshop they've helped organize seeks to make LLM evaluation more meaningful,...

Bloomberg’s AI engineers introduce an improved agent tool-calling methodology at ACL 2025

Bloomberg L.P.
Bloomberg L.P. · 2025-07-27T19:55:31Z

SIGIR 2025 papers by Bloomberg's AI engineers present contributions aimed at making information retrieval systems more robust, effective, and efficient in the age of generative AI The post...

Bloomberg’s AI Engineers Publish 3 Information Retrieval Research Papers at SIGIR 2025

Bloomberg L.P.
Bloomberg L.P. · 2025-07-13T13:32:40Z
程序员究竟怎样用 AI?深度解读 WIRED 调查报告《How Software Engineers Actually Use AI》

WIRED杂志的调查显示,75%的程序员尝试使用AI编程助手,17%全天使用。AI提高了工作效率,但约25%的程序员因领域限制和安全顾虑未使用。不同资历的程序员对AI态度各异:初级程序员乐观,中级程序员忧虑,资深工程师则持谨慎态度。AI改变了开发方式,提升效率的同时也带来了心理压力,未来需关注技能退化和安全隐患。

程序员究竟怎样用 AI?深度解读 WIRED 调查报告《How Software Engineers Actually Use AI》

宝玉的分享
宝玉的分享 · 2025-03-25T03:13:32Z

本研究探讨大型语言模型(LLMs)在软件工程自动化中的应用,强调建立信任的重要性。结合LLMs与分析工具可以增强对代码的信任,改变未来的软件工程工作流程。

AI Software Engineers: Trust in Programming

BriefGPT - AI 论文速递
BriefGPT - AI 论文速递 · 2025-02-19T00:00:00Z

本研究探讨生成模型在软件工程中的性别和种族偏见。评估结果显示,稳定扩散模型在描绘软件工程师时偏向男性,严重低估黑人和阿拉伯人物。这揭示了使用这些模型的潜在偏见风险,并呼吁未来进行偏见减缓研究。

How Do Generative Models Portray Software Engineers? A Case Study on Bias in Stable Diffusion

BriefGPT - AI 论文速递
BriefGPT - AI 论文速递 · 2025-01-15T00:00:00Z

本研究探讨了大型语言模型(LLM)在缺乏高质量训练数据时的性能瓶颈。提出的新范式LANCE使LLM能够自主生成、清洗和标注数据,从而提升其表现并降低数据构建成本,推动超智能系统的发展。

Language Models as Continuously Self-Evolving Data Engineers

BriefGPT - AI 论文速递
BriefGPT - AI 论文速递 · 2024-12-19T00:00:00Z

Stripe公司通过有效的招聘策略建立了强大的工程团队。创始工程师Greg Brockman分享了成功的招聘渠道,包括推荐、职业招聘会和主动出击。他强调关注高质量雇佣、团队文化和候选人适配性,并建议在招聘过程中保持透明度和创造性。

How Stripe Recruits Engineers

DemoChen's Clip
DemoChen's Clip · 2024-09-21T04:30:55Z
How Stripe Recruits Engineers

Stripe通过优化招聘渠道和建立强大团队,分享了成功的招聘策略,强调推荐、文化契合、透明度和团队合作的重要性。招聘时应关注优秀人才,避免仅凭名气判断,找到合适的人比填补职位更重要。

How Stripe Recruits Engineers

DemoChen's Clip
DemoChen's Clip · 2024-09-21T04:30:55Z

This article will provided you with a better understanding of what skills are required for a junior ML developer to be considered for a job. If you are looking to land your first job, you should...

What Junior ML Engineers Actually Need to Know to Get Hired?

KDnuggets
KDnuggets · 2024-01-03T17:00:12Z
对社交媒体的当前看法

埃隆·马斯克接管推特导致该平台失去了许多经验丰富的工程师,并积累了大量债务。作者避免在推特上接触负面内容,转而使用其他平台,如Mastodon、Bluesky、Threads、LinkedIn和Instagram。他们主要发布内容以通知人们他们网站上的新帖子,并使用Slack和Discord进行小型讨论组。

对社交媒体的当前看法

Martin Fowler
Martin Fowler · 2023-11-02T16:33:00Z
Why Computer Programmers Should Stop Calling Themselves Engineers - The Atlantic

本文讨论了计算机程序员是否应该称自己为工程师的问题。作者认为,软件开发与传统工程实践不同,应被视为一种手艺而非工程。然而,随着软件在社会中的重要性增加,软件开发的利害关系也变得与桥梁和建筑类似。作者呼吁重新审视软件开发的标准,并将其与工程学区分开来。

Why Computer Programmers Should Stop Calling Themselves Engineers - The Atlantic

Owen's Clip
Owen's Clip · 2023-09-09T16:16:41Z

Unless you’ve been living under a rock, you must have heard about ChatGPT by now. The hot-take of the moment is that AI will replace Software Engineers. But as with many hot-takes, it is wrong. AI...

ChatGPT won't replace software engineers

Articles on Chaordic
Articles on Chaordic · 2023-01-24T06:00:00Z
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