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

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...

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...

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...

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...

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,...

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...

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...

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,...

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...

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。

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。

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。

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。

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...

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...