# devex Published articles for devex. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Port vs. Jellyfish: Engineering Intelligence Compared DevFeed: [Port vs. Jellyfish: Engineering Intelligence Compared]() Original publisher: [Read original article]() Author: Tomasz Skora Published: 2026-09-15T12:02:54Z Content type: comparison Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Software Engineering](), [Developer experience](), [dora metrics](), [AI Strategy](), [code productivity]() Tags: [ai-adoption](), [compare](), [devex](), [dora-metrics](), [engineering](), [software-engineering](), [workflows]() ### AI overview A comparison of Port and Jellyfish as Engineering Intelligence platforms. Jellyfish focuses on analytics and decision support for engineering performance, investment, developer experience, and AI impact, while Port connects findings to software context, owners, standards, and governed workflows so teams can act and measure outcomes. ### Source excerpt Compare Port and Jellyfish across Engineering Intelligence, AI impact, DevEx, software context, governed workflows, and measurable outcomes. ## Driving Developer Excellence: Inside the Program Sprints DevFeed: [Driving Developer Excellence: Inside the Program Sprints]() Original publisher: [Read original article]() Author: Anant Nawalgaria; Eric Schmidt; Sokratis Kartakis; Aman Khan Published: 2026-09-12T11:04:33.891311Z Content type: article Language: en Sources: [Google Developers Blog]() Topics: [AI Bots]() Tags: [agents](), [ai](), [ai-governance](), [developer-experience](), [devex](), [documentation](), [google-cloud](), [policy]() ### AI overview Google Cloud's Gemini Enterprise DevEx program tests developer workflows without internal shortcuts to find and resolve friction. This sprint focused on governed AI-agent deployment, covering identity provisioning, registry enrollment, gateway routing, policy enforcement, content safety, and auditable request verification. ### Source excerpt The Gemini Enterprise Developer Experience (DevEx) program conducts ongoing sprint testing of end-to-end developer workflows to identify and rapidly resolve friction points without relying on internal shortcuts. This recent sprint focused on optimizing enterprise AI governance, including refining setup prerequisites, securing extension configurations, and clarifying policy enforcement mechanics to ensure a smoother, more reliable deployment. Developers can now leverage updated documentation and standardized code samples to improve their experience with Agent Gateway and Semantic Governance configurations. ## Responsible AI adoption needs developer workflow design DevFeed: [Responsible AI adoption needs developer workflow design]() Original publisher: [Read original article]() Author: Dr. Gleb Tsipursky Published: 2026-08-24T14:00:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [responsible-ai](), [shadow AI](), [AI Strategy](), [AI Platforms/Deployment](), [Tooling](), [Stack Overflow](), [Microsoft]() Tags: [ai](), [ai-adoption](), [article](), [cc-by-sa](), [compliance](), [developer](), [devex](), [experimentation](), [microsoft](), [platforms](), [responsible-ai](), [se-stackoverflow](), [se-tech](), [shadow-ai](), [tools](), [workflow]() ### AI overview The article argues that responsible AI adoption depends on designing developer workflows, not merely publishing policies. It presents shadow AI as a signal that approved tools or processes are too slow, vague, or disconnected from engineering work, and recommends investigating workflow friction while providing monitored gateways and approved AI platforms that support visibility and experimentation. ### Source excerpt Organizations cannot solve shadow AI with a document employees read once. They need to make responsible use easier than improvised use. ## Starting More Work Is Easy; Finishing and Shipping Valuable Product Work Is Harder DevFeed: [Starting More Work Is Easy; Finishing and Shipping Valuable Product Work Is Harder]() Original publisher: [Read original article]() Author: Luca Rossi Published: 2026-08-10T07:01:19Z Content type: article Language: en Sources: [Refactoring]() Topics: [Development](), [devex](), [meetings](), [Artificial Intelligence]() Tags: [ai](), [developers](), [devex](), [engineering](), [meetings](), [product-engineering]() ### AI overview This newsletter argues that AI can make it easier for engineers to start work while leaving teams with more stalled work and fewer deployments. It presents product engineering as a way to increase the share of valuable work that reaches users by reducing coordination overhead and expanding engineers' ownership of the product loop. ### Source excerpt Monday Ideas -- Edition #220 ## Developer productivity insights platforms (DPIP) measure dashboards. Your DevEx problem is bigger Than that. DevFeed: [Developer productivity insights platforms (DPIP) measure dashboards. Your DevEx problem is bigger Than that.]() Original publisher: [Read original article]() Author: Zohar Einy Published: 2026-07-30T11:28:55Z Content type: opinion Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [code productivity](), [devex](), [dashboards](), [developer-productivity](), [Artificial Intelligence](), [DevOps](), [Platform Engineering](), [CI/CD](), [Large Language Model](), [Optimization](), [migration]() Tags: [agentic](), [ai](), [ci-cd](), [dashboards](), [developer-productivity](), [devex](), [devops](), [llm](), [measurements](), [metrics](), [migration](), [optimization](), [platform-engineering]() ### AI overview This developer article argues that Developer Productivity Insight Platforms (DPIP) should extend beyond measuring engineering time, resources, effectiveness, and delivery progress. It says dashboards and metrics are insufficient without workflows and self-service actions that help developers resolve identified problems. The article also highlights platform convergence, CI/CD integrations, agentic solutions, LLM support, resource optimization, and data migration, arguing that enterprise engineering needs an end-to-end platform connecting insight to action. ### Source excerpt Gartner defines DPIP as solutions that provide software engineering leaders with data-driven insights into their teams' use of time, resources, operational effectiveness and progress on deliverables. ## Why Platform Engineers Need Developer Feedback DevFeed: [Why Platform Engineers Need Developer Feedback]() Original publisher: [Read original article]() Author: John Crowley Published: 2026-07-30T10:39:13Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Platform Engineering](), [devex](), [code productivity](), [dora metrics](), [sdlc](), [dashboards](), [telemetry](), [Automation]() Tags: [automation](), [dashboards](), [developer](), [developer-experience](), [devex](), [dora-metrics](), [platform](), [platform-engineering](), [productivity](), [sdlc](), [telemetry](), [workflows]() ### AI overview The article explains why platform engineering teams need systematic, direct developer feedback to improve developer experience, reduce friction, and increase engineering performance. It recommends combining qualitative feedback about engineers' experiences with quantitative signals such as DORA metrics and other SDLC measures. ### Source excerpt Understand why platform engineers need direct feedback to improve developer experience, optimize workflows, and align platforms with real needs. ## How to create a developer experience survey: The ultimate guide DevFeed: [How to create a developer experience survey: The ultimate guide]() Original publisher: [Read original article]() Author: Sooraj Shah Published: 2026-07-22T12:04:29Z Content type: tutorial Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [devex](), [Developer experience](), [code productivity](), [internal developer portal](), [sdlc](), [Tooling]() Tags: [article](), [developer](), [developer-experience](), [developer-productivity](), [developers](), [development](), [devex](), [guide](), [how-to](), [metrics](), [onboarding](), [productivity](), [research](), [sdlc](), [software](), [tooling]() ### AI overview This guide explains how to create a developer experience survey and use the results to identify challenges, improve onboarding and tooling, reduce SDLC bottlenecks, and prioritize capabilities for a developer portal. It emphasizes combining survey feedback with qualitative and quantitative measures of developer productivity. ### Source excerpt A developer experience survey helps you to know exactly what features and capabilities you need for your platform and portal ## Meet Engineering 360: Your hub for developer experience DevFeed: [Meet Engineering 360: Your hub for developer experience]() Original publisher: [Read original article]() Author: Roi Talpaz Published: 2026-07-22T11:34:04Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [devex](), [Platform Engineering](), [dora metrics](), [Automation](), [Tech Debt]() Tags: [automation](), [developer-experience](), [developer-tools](), [devex](), [dora-metrics](), [internal-developer-portal](), [platform-engineering](), [tech-debt]() ### AI overview Engineering 360 is presented as a hub for developer experience that combines engineering intelligence, surveys, quantitative metrics such as DORA, and an internal developer portal. It aims to help platform and engineering teams identify friction, prioritize improvements, automate resolutions, and measure outcomes. ### Source excerpt We launched Engineering 360 to help engineering organizations close that loop: to gather insights, prioritize efforts, and turn feedback into visible outcomes. ## 5 pitfalls to avoid when measuring DevEx in the AI era DevFeed: [5 pitfalls to avoid when measuring DevEx in the AI era]() Original publisher: [Read original article]() Author: Candace Shamieh; Teddy Gesbert Published: 2026-06-30T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [devex](), [code productivity](), [engineering-leadership](), [Artificial Intelligence](), [Code review]() Tags: [ai](), [ai-adoption](), [ai-impact](), [ci-cd](), [ci-visibility](), [collaboration](), [developer-experience](), [devex](), [devops](), [dora-metrics](), [engineering-management](), [internal-developer-portal](), [metrics](), [performance](), [productivity](), [review](), [software-delivery](), [test-optimization]() ### AI overview This article examines common pitfalls in measuring developer experience during the AI era. It argues that individual output metrics, including token consumption, lines of code, pull request counts, commits, and story points, can undermine trust and collaboration when treated as measures of personal productivity. ### Source excerpt Don't mistake AI adoption for productivity. Learn how to avoid 5 common pitfalls when measuring DevEx, with practices from Datadog engineering ## DevEx matters for coding agents, too DevFeed: [DevEx matters for coding agents, too]() Original publisher: [Read original article]() Author: Rory Bain Published: 2025-12-19T15:59:16Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [AI-assisted coding](), [Developer experience](), [developer tooling](), [code productivity](), [Claude Code](), [cursor](), [toolchain](), [ESLint](), [Prettier](), [TypeScript](), [React](), [ide]() Tags: [ai-coding-agents](), [claude-code](), [codex](), [coding](), [coding-agents](), [cursor](), [devex](), [eslint](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [outage](), [post-mortem](), [react](), [slack-incident](), [toolchain](), [tooling](), [typescript]() ### AI overview The article explains how Incident.io accelerated developer feedback cycles for both engineers and AI coding agents. It describes heavy use of Claude Code, Cursor, and Codex, and reports that switching from ESLint and Prettier to Biome reduced linting and formatting time from 40 seconds to less than one second. ### Source excerpt When AI can scaffold out entire features in seconds and you have multiple agents all working in parallel on different tasks, a ninety-second feedback loop kills your flow state completely. We've recently invested in dramatically speeding up our developer feedback cycles, cutting some by 95% to address this. In this post we'll share what that journey looked like, why we did it and what it taught us about building for the AI era. ## Backstage in Atlanta: Highlights from BackstageCon and KubeCon + CloudNativeCon North America 2025 DevFeed: [Backstage in Atlanta: Highlights from BackstageCon and KubeCon + CloudNativeCon North America 2025]() Original publisher: [Read original article]() Author: Kate Klymkovska, Spotify & André Wanlin, Spotify Published: 2025-11-25T00:00:00Z Content type: article Language: en Sources: [Backstage Software Catalog and Developer Platform Blog]() Topics: [Backstage](), [devex](), [Deployment](), [Maintainers](), [Artificial Intelligence]() Tags: [2025](), [backstage](), [cncf](), [conference](), [developer-experience](), [developer-portal](), [devex](), [idp](), [internal-developer-platform](), [kubecon](), [maintainers](), [net](), [open-source](), [platform-engineering](), [security](), [software-catalog](), [software-templates](), [techdocs]() ### AI overview A recap of BackstageCon and KubeCon + CloudNativeCon North America 2025 in Atlanta, covering Backstage talks, community activities, adoption and scaling discussions, governance, deployment models, and selected use cases. It also notes the release of the New Frontend System and work toward an AI-Native Backstage. ### Source excerpt Backstage in Atlanta: Highlights from BackstageCon and KubeCon + CloudNativeCon North America 2025 ## May the LLM be with You - On Planes and German Trains DevFeed: [May the LLM be with You - On Planes and German Trains]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-12-30T05:00:00Z Content type: opinion Language: en Sources: [Tobias Mende]() Topics: [LLMs](), [devex](), [Development](), [Refactoring](), [Back end](), [Docker Compose](), [nginx](), [Kubernetes]() Tags: [ai-for-devex-artificial-intelligence-developer-experience-developer-productivity-software-develo](), [backend](), [devex](), [docker-compose](), [grpc](), [kubernetes](), [llm](), [nginx](), [refactoring](), [software-development]() ### AI overview This personal developer account explores using local LLMs for software development when internet access is unavailable or data-privacy concerns prevent using cloud tools. It describes refactoring backend services and replacing an unused gateway in a Docker Compose setup while traveling offline. ### Source excerpt May the LLM be with You - On Planes and German Trains This might be the unofficial seventh part of the "AI for DevEx" series. LLM tools are a great help during the entire software development process. But what if we are offline or if data privacy concerns disallow using ChatGPT and similar tools? ## How AI Improves Collaboration and Communication (AI for DevEx, Part 4) DevFeed: [How AI Improves Collaboration and Communication (AI for DevEx, Part 4)]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-12-09T05:00:00Z Content type: opinion Language: en Sources: [Tobias Mende]() Topics: [Artificial Intelligence](), [devex](), [Documentation](), [meetings]() Tags: [ai](), [ai-for-devex-artificial-intelligence-developer-experience-developer-productivity](), [audio](), [devex](), [documentation](), [meetings](), [remote](), [slack](), [zoom]() ### AI overview This fourth article in the AI for DevEx series examines how AI tools can support synchronous and asynchronous communication, collaboration, meeting participation, scheduling, and documentation. It discusses capabilities including noise cancellation, speech analysis, transcription, call summaries, meeting notes, and calendar management. ### Source excerpt How AI Improves Collaboration and Communication (AI for DevEx, Part 4) Welcome to part 4 of AI for DevEx. In this article, we will explore how AI can help us improve how we communicate synchronously and asynchronously, how we collaborate, and how it can even increase the value of documentation. ## Custom GPTs as a Developer Companion (AI for DevEx, Part 2) DevFeed: [Custom GPTs as a Developer Companion (AI for DevEx, Part 2)]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-11-25T05:00:00Z Content type: tutorial Language: en Sources: [Tobias Mende]() Topics: [Artificial Intelligence](), [devex](), [ChatGPT](), [OpenAI](), [Code](), [Java](), [Spring Boot](), [Gradle](), [API](), [Amazon Elastic Kubernetes Service](), [Amazon S3](), [Databases]() Tags: [ai](), [ai-for-devex-artificial-intelligence-developer-experience-developer-productivity-engineering-exc](), [apis](), [chatgpt](), [code](), [developer](), [developers](), [devex](), [gradle](), [java](), [openai](), [spring-boot](), [testing]() ### AI overview This tutorial explains how custom GPTs can support developer workflows by combining instructions, uploaded knowledge, and APIs with project-specific context. It demonstrates creating a custom GPT named "Spring Buddy" for a fictional Java, Spring Boot, Gradle, Spock, AWS EKS, AWS S3, and PostgreSQL project. ### Source excerpt Custom GPTs as a Developer Companion (AI for DevEx, Part 2) Part 2 of "AI for DevEx" focuses on the new GPTs announced by OpenAI on November 6th and how they can enhance the experience for developers. ## Writing and Improving Code with AI (AI for DevEx, Part 1) DevFeed: [Writing and Improving Code with AI (AI for DevEx, Part 1)]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-11-18T05:00:00Z Content type: tutorial Language: en Sources: [Tobias Mende]() Topics: [AI Development](), [devex](), [AI-assisted coding](), [Code](), [GitHub Copilot](), [Go](), [ChatGPT]() Tags: [ai](), [ai-for-devex-artificial-intelligence-developer-experience-developer-productivity](), [code](), [devex](), [github-copilot](), [go]() ### AI overview This article examines how AI tools based on large language models can support developer experience and productivity, focusing on writing and improving code. It discusses ChatGPT, GitHub Copilot, and AWS CodeWhisperer for code generation, expanded autocompletion, and creating Go implementations from test cases. ### Source excerpt Writing and Improving Code with AI (AI for DevEx, Part 1) Artificial intelligence (AI) is here to stay. It's become a part of our daily lives through ChatGPT, Midjourney, or even the occasional frustrating chatbot. Despite their imperfections and the mix of risks and opportunities they present, AI tools are transforming the way we create, manage, and improve software. ## Selling DevEx Initiatives in Purpose vs. Profit-oriented Companies DevFeed: [Selling DevEx Initiatives in Purpose vs. Profit-oriented Companies]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-10-21T04:00:00Z Content type: opinion Language: en Sources: [Tobias Mende]() Topics: [Developer experience](), [developer-productivity](), [Development]() Tags: [culture-developer-experience-developer-productivity-engineering-excellence-organizational-design](), [developer-experience](), [developer-productivity](), [development](), [devex](), [organizations]() ### AI overview This opinion article discusses how technical leaders can communicate and advocate for Developer Experience initiatives by aligning them with organizational priorities. It contrasts purpose-oriented and profit-oriented contexts and relates DevEx to developer productivity and effectiveness. ### Source excerpt Selling DevEx Initiatives in Purpose vs. Profit-oriented Companies For years, a conversation has been ongoing on naming in the DevEx community (and within myself). Of course. Naming is hard, and why shouldn't it be any different for this domain? ## Maslow's Hierarchy of Needs -- DevEx Edition DevFeed: [Maslow's Hierarchy of Needs -- DevEx Edition]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-07-08T04:00:00Z Content type: article Language: en Sources: [Tobias Mende]() Topics: [devex](), [Developer experience](), [context](), [Development]() Tags: [creativity](), [culture-developer-experience-developer-productivity-engineering-leadership-engineering-excellenc](), [developer-experience](), [devex](), [leadership](), [testing]() ### AI overview This article adapts Maslow's hierarchy of needs as a framework for prioritizing developer experience investments. It argues that more basic developer experience needs should be addressed before higher-level concerns and draws on a 2022 paper identifying 25 key factors, or 26 factors as listed in the article. ### Source excerpt Maslow's Hierarchy of Needs -- DevEx Edition Do you know how to prioritize your developer experience investments? You might have read about the three dimensions and 25+ factors of developer experience (see below). But what to do about that? -- Maslow's hierarchy of needs gives the answer. ## Developer Experience at Risk: Red Flags for Engineering Leaders DevFeed: [Developer Experience at Risk: Red Flags for Engineering Leaders]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-06-17T05:00:00Z Content type: opinion Language: en Sources: [Tobias Mende]() Topics: [devex](), [Developer experience](), [Risk](), [Tech Lead]() Tags: [culture-developer-experience-developer-productivity-engineering-excellence](), [developer-experience](), [devex](), [risk](), [tech-lead](), [tooling]() ### AI overview The article identifies warning signs that engineering leaders may be neglecting developer experience, focusing on engineers' behavior and coping strategies. It discusses job crafting and the risk that excessive work outside assigned roles can delay product evolution and create delivery pressure. ### Source excerpt Developer Experience at Risk: Red Flags for Engineering Leaders Developer Experience is the most important driver behind productivity, engagement, and job satisfaction. Therefore, improving the perceived experience of their engineers should be the top priority for engineering leaders at all levels. ## Weekly Kickoff: Reconnect and Kickstart as a Team DevFeed: [Weekly Kickoff: Reconnect and Kickstart as a Team]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-04-08T06:00:00Z Content type: article Language: en Sources: [Tobias Mende]() Topics: [Developer experience](), [context](), [structure]() Tags: [collaboration](), [collaboration-culture-practices-remote-work-engineering-excellence](), [developer](), [developer-experience](), [devex](), [remote](), [structure](), [team](), [work]() ### AI overview This article describes BRYTER's weekly Developer Experience kickoff for a remote team. The three-hour session helped colleagues reconnect, reflect on the previous week, make plans, discuss collaboration, and begin the week together while retaining a flexible agenda. ### Source excerpt Weekly Kickoff: Reconnect and Kickstart as a Team It's Monday! 🚀 Developer Experience Kickoff This was the title of a blocker in the calendars of members of the DevEx team at BRYTER, spanning from 9:00 CET to 12:00 CET every Monday. Three hours. Quite some time for a meeting. Unless: This was not a meeting, as you may know it.