# Production Engineering Production engineering is a software engineering and systems operations discipline focused on designing, operating, and improving live software infrastructure and services for reliability, observability, performance, security, and automation. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## The AI-Assisted Engineering Workflow I Use Day to Day DevFeed: [The AI-Assisted Engineering Workflow I Use Day to Day]() Original publisher: [Read original article]() Author: Alex Razvant Published: 2026-06-28T13:01:33Z Content type: tutorial Language: en Sources: [Neural Bits]() Topics: [AI-assisted coding](), [Loop Engineering](), [Test-driven development](), [Claude Code](), [codex](), [Production Engineering](), [coding]() Tags: [ai](), [claude](), [claude-code](), [codex](), [coding-agents](), [engineering](), [production](), [tdd](), [validation](), [workflow]() ### AI overview The article presents a controlled workflow for AI-assisted engineering with Claude, Codex, and other coding agents. It describes intake, task decomposition, test-driven development, bounded implementation, review gates, system validation, and sign-off while keeping the engineer involved throughout. ### Source excerpt How I structure intake, slicing, TDD, implementation, review gates, system validation, and signoff when working with Claude, Codex, and coding agents in production engineering work. ## The Wix Engineering 2025 Review: AI, Platforms, Data, and Deep Technical Lessons-Learned DevFeed: [The Wix Engineering 2025 Review: AI, Platforms, Data, and Deep Technical Lessons-Learned]() Original publisher: [Read original article]() Author: Wix Engineering Published: 2025-12-28T18:29:04Z Content type: article Language: en Sources: [Wix Engineering]() Topics: [Artificial Intelligence](), [Platform Engineering](), [Software Engineering](), [data](), [Production Engineering](), [Large Language Model](), [Retrieval Augmented Generation (RAG)](), [Testing]() Tags: [2025](), [ai](), [architecture](), [article](), [best-practices](), [blog](), [data](), [developers](), [engineering](), [llm](), [platforms](), [rag](), [scale](), [software](), [software-engineering](), [technical]() ### AI overview Wix Engineering's 2025 review curates lessons from building and operating large-scale web systems, covering AI adoption and production systems, platform engineering, data systems, reliability, and software engineering practices. ### Source excerpt A Year of Building at Scale: Inside Wix Engineering During 2025, Wix Engineering shared deep dives, playbooks, and real-world lessons from building and operating one of the largest web platforms in the world. These stories don't start as content. They start as engineering challenges - some of the most complex, high-scale, and unforgiving challenges modern software teams face. Problems that emerge only when thousands of developers, hundreds of teams, and hundreds of millions of users meet... ## What I Learned in One Year as an SRE Trainee DevFeed: [What I Learned in One Year as an SRE Trainee]() Original publisher: [Read original article]() Published: 2023-01-06T00:00:00Z Content type: article Language: en Sources: [SoundCloud Backstage Blog]() Topics: [SRE](), [Production Engineering](), [Infrastructure as code](), [Monitoring](), [Incident response](), [Kubernetes](), [migration](), [datacenter](), [Cloud](), [Google]() Tags: [cloud](), [data-center](), [engineering-culture](), [google-cloud](), [incident-response](), [infrastructure-as-code](), [knowledge-sharing](), [kubernetes](), [learning](), [migration](), [monitoring](), [music](), [production-engineering](), [site-reliability-engineering](), [sre]() ### AI overview A Site Reliability Engineering trainee at SoundCloud reflects on a first year spent learning how SRE applies software engineering to operations, reliability, and scalability. The article discusses the broad scope of the role, including Infrastructure as Code, Monitoring, Incident Response training, Kubernetes upgrades, infrastructure decommissioning, and a service migration from a data center to Google Cloud. ### Source excerpt I recently celebrated my one year anniversary as a Site Reliability Engineering (SRE) trainee at SoundCloud. Looking back, I had very little... ## Organizing 2000 Developers for BFCM in a Remote World DevFeed: [Organizing 2000 Developers for BFCM in a Remote World]() Original publisher: [Read original article]() Author: Lisa Vanderschuit Published: 2020-12-07T18:00:00Z Content type: article Language: en Sources: [Shopify Engineering](), [Shopify Engineering - Shopify Engineering]() Topics: [Shopify](), [Production Engineering]() Tags: [developers](), [engineering](), [production](), [remote](), [shopify]() ### AI overview Shopify describes how its program managers organized preparation across roughly 2,000 developers for Black Friday and Cyber Monday in a remote working environment. The program coordinated platform-quality, resiliency, scale, and capacity efforts so teams could address maintenance, run game days, load-test systems, increase critical capacity, and prepare for demand beyond the two main shopping days. ### Source excerpt With BFCM on the horizon, there is a lot of preparation that Shopify needs to do on our platform. This effort needs a key driver to set expectations for many teams and hold them accountable to complete the work. ## Lessons from Leading a Remote Engineering Team DevFeed: [Lessons from Leading a Remote Engineering Team]() Original publisher: [Read original article]() Author: Lawrence Mandel Published: 2019-07-25T18:00:00Z Content type: opinion Language: en Sources: [Shopify Engineering](), [Shopify Engineering - Shopify Engineering]() Topics: [Production Engineering](), [Shopify]() Tags: [canada](), [career](), [engineering-management](), [global](), [health](), [mobility](), [production-engineering](), [remote](), [uk](), [work]() ### AI overview A Shopify engineering leader shares lessons from managing remote teams, including the benefits of a global hiring pool, a more diverse workforce, stronger employee retention, and location-based team capabilities. ### Source excerpt Shopify's Director of Production Engineering talks about the benefits of remote teams, building a remote team, and setting your people up to succeed. ## Preparing Shopify for Black Friday and Cyber Monday DevFeed: [Preparing Shopify for Black Friday and Cyber Monday]() Original publisher: [Read original article]() Author: Camilo Lopez Published: 2018-12-21T19:00:00Z Content type: article Language: en Sources: [Shopify Engineering](), [Shopify Engineering - Shopify Engineering]() Topics: [Production Engineering](), [Shopify](), [Chaos Engineering](), [Latency](), [Testing](), [systems]() Tags: [engineering](), [latency](), [load](), [performance](), [platform](), [production](), [production-engineering](), [shopify](), [systems](), [testing]() ### AI overview Shopify's Production Engineering teams prepare the platform for Black Friday and Cyber Monday by maintaining reliability and scalability for heavy traffic and sales volumes. Their preparations include game days that use controlled fault injection, artificial latency, dependency degradation, and fallback verification, along with synthetic load testing to evaluate applications and system components under expected demand. ### Source excerpt Making commerce better for everyone is a challenge we face on a daily basis. For our Production Engineering team, it means ensuring that our 600,000+ merchants have a reliable and scalable platform to support their business needs. We need to be able to support everything our merchants throw at us--including the influx of holiday traffic during Black Friday and Cyber Monday (BFCM). All of this needs to happen without an interruption in service. ## Director of Engineering, Lawrence Mandel Talks Road to Leadership, Growth, and Finding Balance. DevFeed: [Director of Engineering, Lawrence Mandel Talks Road to Leadership, Growth, and Finding Balance.]() Original publisher: [Read original article]() Author: Toni Akinwumi Published: 2018-12-03T21:12:00Z Content type: article Language: en Sources: [Shopify Engineering](), [Shopify Engineering - Shopify Engineering]() Topics: [Shopify](), [Production Engineering](), [Swing](), [MediaWiki](), [Open Source](), [Automation](), [Scripting, bash](), [web applications](), [XML](), [ibm](), [Mozilla]() Tags: [apache](), [automation](), [developer](), [documentation](), [eclipse](), [engineering](), [growth](), [ibm](), [java](), [leadership](), [mozilla](), [open-source](), [production-engineering](), [projects](), [shopify](), [software](), [software-developer](), [tools](), [web-applications](), [work]() ### AI overview This interview profiles Lawrence Mandel, a Director of Production Engineering at Shopify who leads the Developer Acceleration team. It discusses the team's work building tools, conventions, documentation, and automation for developers; Mandel's experience at IBM and Mozilla; his open-source projects and Java web application work; and his views on career growth, leadership, time management, family, health, and work. ### Source excerpt Lawrence Mandel is a Director of Production Engineering leading Shopify's Developer Acceleration team and has been at Shopify for over a year. He previously worked at IBM and Mozilla where he started as a software developer before transitioning into leadership roles. Through all his work experience, he's learned to understand the meaning of time management and to prioritize the most important things in his life, which are his family, health, and work. ## E-Commerce at Scale: Inside Shopify's Tech Stack - Stackshare.io DevFeed: [E-Commerce at Scale: Inside Shopify's Tech Stack - Stackshare.io]() Original publisher: [Read original article]() Author: Kir Shatrov Published: 2018-08-08T15:30:00Z Content type: article Language: en Sources: [Shopify Engineering](), [Shopify Engineering - Shopify Engineering]() Topics: [Shopify](), [Production Engineering](), [Rails](), [Scalability](), [Ruby](), [Monitoring](), [Architecture & Design](), [incident]() Tags: [incident](), [infrastructure](), [monitoring](), [production](), [production-engineering](), [ruby](), [scalability](), [shopify](), [tech-stack]() ### AI overview The article examines how Shopify operates a large-scale, multi-channel commerce platform. It describes the Production Engineering department, shared responsibility for monitoring and incident response, scalability practices for unpredictable flash-sale traffic, and Shopify's long-lived Ruby on Rails codebase. ### Source excerpt 9 minute read Before 2015, we had an Operations and Performance team. Around this time, we decided to create the Production Engineering department and merge the teams. The department is responsible for building and maintaining common infrastructure that allows the rest of product development teams to run their code. Both Production Engineering and all the product development teams share responsibility for the ongoing operation of our end user applications. This means all technical roles share monitoring and incident response, with escalation happening laterally to bring in any skill set required to restore service in case of problems. ## Tell Your Stories: The Benefits of Strategic Engineering Communications DevFeed: [Tell Your Stories: The Benefits of Strategic Engineering Communications]() Original publisher: [Read original article]() Author: Jaime Woo Published: 2017-10-25T19:30:00Z Content type: article Language: en Sources: [Shopify Engineering](), [Shopify Engineering - Shopify Engineering]() Topics: [Shopify](), [Production Engineering](), [front-end-development](), [data-engineering](), [GraphQL](), [Rails]() Tags: [articles](), [data-engineering](), [developers](), [development](), [engineering](), [front-end-development](), [production-engineering](), [shopify](), [technical]() ### AI overview Shopify established a formal engineering communications function as the company grew across offices and technical teams. The initiative shared engineering knowledge internally, communicated Shopify's work externally, supported recruitment, reduced duplicated work and mistakes, and encouraged cross-team idea sharing through technical talks, newsletters, and approachable articles. ### Source excerpt In early 2016, we faced a problem at Shopify. We were growing quickly, and decisions could no longer be made across the room, so to speak. Four offices became five, accommodating that growth raised interesting questions like: how would new people know the history of the company, and how could existing Shopifolk keep up with new developments? In addition to sharing knowledge inside the company, we also wanted to let people outside Shopify know what we were working on to give back to the community and to support recruitment efforts. Engineering communications was born to solve a specific problem. A valued saying here is "do things, tell people," but, while we're very good at the first part, we weren't living up to expectations on the second. Ad hoc worked when we were smaller, but with technical stories now coming from teams as varied as production engineering, mobile, front-end development, and data engineering, we needed something more formalized. Strong communications inside the engineering team could help prevent the overlap of work by different teams or the duplication of mistakes, and it could support cross-pollination of ideas.