# Developer Platform Published articles for Developer Platform. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Building an Internal Developer Platform with Artificial Intelligence DevFeed: [Building an Internal Developer Platform with Artificial Intelligence]() Original publisher: [Read original article]() Author: Ben Linders Published: 2026-09-17T11:11:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [internal developer platform](), [AI Development](), [AI search](), [agent observability](), [OpenTelemetry](), [telemetry]() Tags: [agent](), [agents](), [artificial-intelligence](), [culture-methods](), [developer-experience](), [developer-platform](), [distributed-tracing](), [guardrails](), [internal-developer-platform](), [logging](), [logs](), [metrics](), [news](), [opentelemetry](), [platform-artificial-intelligence](), [platform-engineering](), [prometheus](), [traces]() ### AI overview This news article covers a KubeCon presentation about using AI agents as an internal developer platform. It discusses semantic search across sources such as Git, Slack, Jira, repositories, pull requests, and wiki pages; guardrails for controlling actions; and logs, metrics, and traces for understanding agent behavior. The speakers also describe OpenTelemetry conventions for GenAI and related observability tools. ### Source excerpt Agents are becoming the new developer platform, using semantic search with data from tools like Git, Slack, and Jira for context. Things to consider are setting guardrails to block or allow things, and using logs, metrics, and traces to understand agent behavior. By Ben Linders ## When scanners miss the attack: how Cloudflare Client-Side Security protects storefronts DevFeed: [When scanners miss the attack: how Cloudflare Client-Side Security protects storefronts]() Original publisher: [Read original article]() Author: Denzil Correa Published: 2026-09-16T20:06:17Z Content type: article Language: en Sources: [Cloudflare Blog]() Topics: [Cloudflare](), [Machine Learning, Security Attacks](), [Security](), [JavaScript]() Tags: [ai](), [application-security](), [attacks](), [client-side-security](), [cloudflare](), [cybersecurity](), [developer-platform](), [developers](), [ecommerce](), [javascript](), [machine-learning](), [malicious-javascript](), [page-shield](), [security](), [security-research](), [virustotal](), [workers-ai]() ### AI overview Cloudflare describes how its Client-Side Security machine learning model detected four malicious JavaScript operations involving eight payloads in live storefront traffic. The post says humans verified the findings after automated detection, while most payloads were absent from VirusTotal and received no malicious verdict from URLScan. ### Source excerpt A modern storefront can look healthy while malicious JavaScript quietly siphons revenue, hijacks clicks, or rewrites analytics. See how Cloudflare's machine learning models surface evasive client-side attacks for analyst investigation. ## Give every teammate and agent the right level of access to your Workers DevFeed: [Give every teammate and agent the right level of access to your Workers]() Original publisher: [Read original article]() Author: Visal In Published: 2026-09-15T13:00:00Z Content type: release Language: en Sources: [Cloudflare Blog]() Topics: [Workers](), [Authorization](), [Developer Platform](), [debug]() Tags: [agent](), [api](), [cloudflare](), [debug](), [developer](), [developer-platform](), [developers](), [identity](), [least-privilege](), [logs](), [metrics](), [monitor](), [product-news](), [scope](), [security](), [traces](), [workers](), [workflows]() ### AI overview Cloudflare now lets teams scope access to individual Workers and assign narrower Developer Platform roles. Teammates, CI tokens, and agents can receive only the permissions needed to debug, deploy, or monitor safely. ### Source excerpt You can now scope access to individual Workers and assign narrower Developer Platform roles, so teammates, CI tokens, and agents get only the access they need to debug, deploy, or monitor safely. ## How we rebuilt Cloudflare Workers' module registry for Node.js compatibility DevFeed: [How we rebuilt Cloudflare Workers' module registry for Node.js compatibility]() Original publisher: [Read original article]() Author: James Snell Published: 2026-09-09T13:00:00Z Content type: article Language: en Sources: [Cloudflare Blog]() Topics: [Workers](), [Node.js]() Tags: [cloudflare](), [cloudflare-workers](), [developer-platform](), [developers](), [javascript](), [node-js](), [open-source](), [webassembly](), [workers]() ### AI overview Cloudflare rebuilt the Workers runtime module registry to improve Node.js compatibility, URL-based module resolution, module caching, import validation, lazy compilation, and WebAssembly support. ### Source excerpt Workers now enables Node.js compatibility by default, supports applications up to 64 mebibytes, and adds a URL-based module registry with import.meta, lazy compilation, shared code caches, and clearer errors. ## What is platform engineering? DevFeed: [What is platform engineering?]() Original publisher: [Read original article]() Author: Luca Galante Published: 2026-09-03T16:27:44Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [internal developer platform](), [AI Bots](), [Artificial Intelligence](), [cloud-infrastructure]() Tags: [agents](), [ai](), [ai-agents](), [developer-platform](), [engineering](), [idp](), [infrastructure](), [internal-developer-platform](), [platform](), [platform-engineering](), [software-development](), [workflows]() ### AI overview Platform engineering is presented as the discipline of building internal platforms that provide self-service paths for software teams and increasingly AI agents. The article explains how Internal Developer Platforms standardize and automate engineering work, and how Agentic Development Platforms add infrastructure and path specifications for collaboration between engineers and AI agents. ### Source excerpt Platform engineering is the method and discipline of designing and building platforms that enable self-service capabilities for teams, and increasingly AI agents, to automate the recurring aspects of knowledge work. ## Why AI coding agents need context graphs DevFeed: [Why AI coding agents need context graphs]() Original publisher: [Read original article]() Author: Talia Kohan Published: 2026-08-25T16:00:00Z Content type: article Language: en Sources: [Postman Blog]() Topics: [AI-assisted coding](), [Graphs](), [coding](), [API](), [internal developer platform](), [context window](), [long-context]() Tags: [ai-coding-agents](), [api-governance](), [apis](), [context-window](), [developer](), [developer-platform](), [engineering](), [general](), [graphs](), [knowledge-graphs]() ### AI overview The article argues that AI coding agents struggle in real codebases primarily because they lack access to a knowledge graph connecting code, APIs, services, ownership, dependencies, policies, and related organizational context. It describes service catalogs, API registries, ownership maps, dependency graphs, and internal developer platforms as different forms of the same underlying structure. It also argues that simply increasing the context window does not solve retrieval and context-quality problems. ### Source excerpt AI coding agents don't fail from small context windows. They fail without a knowledge graph of your code, APIs, and vendors. The post Why AI coding agents need context graphs appeared first on Postman Blog. ## The Cloudflare Blog -- brought to you by EmDash DevFeed: [The Cloudflare Blog -- brought to you by EmDash]() Original publisher: [Read original article]() Author: Amy Dutton Published: 2026-08-24T19:00:00Z Content type: article Language: en Sources: [Cloudflare Blog]() Topics: [EmDash](), [Content Management System](), [migration](), [Astro](), [Cloudflare](), [Usability](), [Front end]() Tags: [astro](), [cloudflare](), [cloudflare-workers](), [content](), [developer-platform](), [developers](), [emdash](), [engineering](), [frontend](), [infrastructure](), [migration](), [performance](), [usability]() ### AI overview Cloudflare describes migrating its blog to EmDash, a CMS built for Astro and Cloudflare. The article covers the Customer Zero approach, migration lessons, usability testing, scalability, production validation, and frontend improvements including dark mode. ### Source excerpt We migrated the Cloudflare Blog to EmDash to prove our stack at massive scale. Here is how we stress-tested performance, safely routed production traffic, and redesigned the frontend experience. ## From all-or-nothing to task-based OAuth consent DevFeed: [From all-or-nothing to task-based OAuth consent]() Original publisher: [Read original article]() Author: José Enrique Rodríguez Published: 2026-08-20T17:03:03Z Content type: article Language: en Sources: [Cloudflare Blog]() Topics: [Authorization](), [Security](), [Cloudflare](), [MCP Server](), [App](), [Low-Code / Internal Tools](), [Software as a service]() Tags: [agent](), [agents](), [api](), [applications](), [cloudflare](), [developer-platform](), [developers](), [identity](), [integrations](), [internal-tools](), [mcp](), [mcp-server](), [oauth](), [product-news](), [security](), [workflows]() ### AI overview Cloudflare OAuth now supports customizable consent scopes, allowing users to grant only the optional permissions needed for a specific task while developers retain required scopes. ### Source excerpt Cloudflare OAuth now supports optional scopes, giving users more control over what an app can access and helping developers build secure consent flows around the task at hand. ## Secure all your internal vibe-coded applications -- in one click DevFeed: [Secure all your internal vibe-coded applications -- in one click]() Original publisher: [Read original article]() Author: Matt Provost Published: 2026-08-14T13:00:00Z Content type: release Language: en Sources: [Cloudflare Blog]() Topics: [Cloudflare Access](), [Workers](), [Authentication](), [Cloudflare](), [Deployment](), [App]() Tags: [ai](), [authentication](), [cloudflare](), [cloudflare-access](), [cloudflare-workers](), [deployment](), [developer](), [developer-platform](), [developers](), [policy](), [product-news](), [sase](), [workers](), [zero-trust]() ### AI overview Cloudflare introduces Cloudflare Access for Workers, allowing account-level or application-level policies to require company authentication for preview and production deployments. Policies can protect Workers across custom domains, routes, workers.dev subdomains, and preview URLs, while authenticated user details can be accessed directly in application code. ### Source excerpt Introducing Cloudflare Access for Workers. Attach an Access policy directly to a Worker and it applies everywhere that Worker runs -- routes, custom domains, workers.dev, and previews -- automatically. ## MoneyGram Ramps launches on Solana DevFeed: [MoneyGram Ramps launches on Solana]() Original publisher: [Read original article]() Author: Solana Foundation Published: 2026-08-11T10:00:00Z Content type: release Language: en Sources: [Solana News Feed]() Topics: [Solana](), [API](), [Developer Platform](), [Global Payments]() Tags: [announcements](), [api](), [blockchain](), [blockchain-technology](), [cross-border](), [crypto-news](), [cryptocurrency](), [defi](), [developer-platform](), [developers](), [integration](), [nfts](), [partner](), [payments](), [podcasts](), [remittances](), [sdks](), [solana](), [solana-ecosystem](), [stablecoins](), [web3]() ### AI overview MoneyGram Ramps is now live on Solana, providing developers with a single API for integrating fiat cash deposits and withdrawals into Solana applications, wallets, and exchanges. The service includes sandbox access and SDK documentation, with coverage spanning more than 25 countries for deposits and more than 170 countries and territories for withdrawals. ### Source excerpt MoneyGram Ramps gives Solana builders one API for cash deposits in 25+ countries and withdrawals in 170+ countries and territories. ## Everything we launched during Agents Week DevFeed: [Everything we launched during Agents Week]() Original publisher: [Read original article]() Author: Kathy Liao Published: 2026-08-10T18:34:10Z Content type: news Language: en Sources: [Cloudflare Blog]() Topics: [Artificial Intelligence](), [Cloudflare](), [Architecture & Design](), [Orchestration](), [Security](), [Cloud](), [observability](), [changelog]() Tags: [agents](), [agents-week](), [ai](), [announcements](), [changelog](), [cloud](), [cloudflare](), [cloudflare-one](), [cloudflare-workers](), [developer-platform](), [developers](), [identity](), [infrastructure](), [observability](), [orchestration](), [sase](), [updates](), [zero-trust]() ### AI overview Cloudflare's Agents Week recap covers announcements about building and operating autonomous, AI-native applications. It describes the platform foundations for agents, including execution infrastructure, development lifecycle, identity, communication, orchestration, memory, observability, and security, along with the concept of an Agentic Internet. ### Source excerpt Our latest Agents Week has come to a close. Here's a recap of all the announcements we made from Wallets to Radar. ## Meta AI Developer Assistant Now Available for Developer Support DevFeed: [Meta AI Developer Assistant Now Available for Developer Support]() Original publisher: [Read original article]() Published: 2026-08-04T16:00:48Z Content type: release Language: en Sources: [Facebook Developers]() Topics: [Meta](), [Artificial Intelligence](), [Support](), [Developer Platform](), [API]() Tags: [ai](), [api](), [compliance](), [developer](), [developer-platform](), [meta](), [support]() ### AI overview Meta is rolling out Meta AI Developer Assistant as the primary support path on developers.facebook.com/support. The assistant provides contextual answers about troubleshooting, compliance requirements, Meta's developer documentation, API references, and platform knowledge. The rollout is gradual and is expected to reach all developers by mid-September 2026. ### Source excerpt Get AI-powered answers to your product and compliance questions directly on developers.facebook.com/support/ ## What does a platform product manager do? DevFeed: [What does a platform product manager do?]() Original publisher: [Read original article]() Author: Mallory Haigh Published: 2026-07-23T08:14:05Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [internal developer platform](), [Product Management](), [Developer experience]() Tags: [architecture](), [developer-experience](), [developer-platform](), [developers](), [engineering](), [internal-developer-platform](), [management](), [organizational](), [platform](), [platform-engineering](), [platforms](), [product](), [product-management](), [product-strategy](), [strategy](), [technical](), [user-research]() ### AI overview This guide explains the role of a Platform Product Manager (PPM) in driving strategy for an Internal Developer Platform. PPMs connect technical platform capabilities with developer needs through user research, feedback loops, roadmaps, stakeholder management, and outcome metrics. The article distinguishes product thinking from project management and describes how continuous prioritization and clear platform boundaries support adoption. ### Source excerpt Platform Product Managers drive internal developer platform strategy, bridging technical capabilities and developer needs through research, roadmaps, and stakeholder management. ## Golden cage syndrome: Why 80% of Internal Developer Platforms fail DevFeed: [Golden cage syndrome: Why 80% of Internal Developer Platforms fail]() Original publisher: [Read original article]() Author: Vladimir Mikhalev Published: 2026-07-23T08:09:23Z Content type: opinion Language: en Sources: [Platform Engineering Blog]() Topics: [internal developer platform](), [Platform Engineering](), [Developer Platform](), [Backstage](), [Kubernetes](), [Terraform]() Tags: [backstage](), [cognitive-load](), [complexity](), [developer-platform](), [internal-developer-platform](), [kubernetes](), [platform-engineering](), [policy](), [terraform]() ### AI overview This opinion argues that internal developer platforms often fail when they prioritize governance and control over developer autonomy and ease of use. It describes a "golden cage" pattern in which rigid, opaque abstractions drive developers toward native tools and workarounds. The article highlights platform adoption, developer friction, cognitive load, and the need to treat a platform as a product. ### Source excerpt Learn the three fatal mistakes of building and IDP and how to succeed with a Platform as a Product (PaaP) mindset ## Why platform engineering will eat the world DevFeed: [Why platform engineering will eat the world]() Original publisher: [Read original article]() Author: Kaspar von Grünberg Published: 2026-07-23T08:08:12Z Content type: opinion Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [internal developer platform](), [Developer Platform](), [software-development](), [Software Engineering](), [Developer experience](), [site-reliability-engineering](), [SRE](), [observability](), [Security]() Tags: [developer-experience](), [developer-platform](), [development](), [engineering](), [internal-developer-platform](), [operations](), [platform](), [platform-engineering](), [security](), [software](), [software-development](), [sre]() ### AI overview The article argues that platform engineering is becoming the dominant model for large-scale software development. It describes platforms as structured digital production lines that reduce time to market, consolidate functions such as operations, databases, security, observability, and SRE, and support greater speed, scale, and security. ### Source excerpt Platform engineering is transforming software development, streamlining operations, and redefining roles. Embrace the shift or risk becoming obsolete. ## Five product management principles for internal developer platforms DevFeed: [Five product management principles for internal developer platforms]() Original publisher: [Read original article]() Author: Mallory Haigh Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [internal developer platform](), [Product Management](), [Platform Engineering](), [Developer Platform](), [Software Engineering](), [Netflix]() Tags: [automation](), [business-value](), [cognitive-load](), [compliance](), [developer](), [developer-platform](), [developers](), [engineering](), [infrastructure](), [internal-developer-platform](), [management](), [platform-engineering](), [platforms](), [software-engineering](), [tooling]() ### AI overview The article presents five product management principles for internal developer platforms. It argues that platform teams should treat developers as customers, measure developer outcomes and adoption, reduce cognitive load through golden paths, and continuously evolve platforms to deliver business value. ### Source excerpt Discover five product management principles crucial for driving adoption and business value in internal developer platforms, focusing on developer needs ## How to win executive buy-in for your Internal Developer Platform DevFeed: [How to win executive buy-in for your Internal Developer Platform]() Original publisher: [Read original article]() Author: Mallory Haigh Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [internal developer platform](), [Platform Engineering](), [Developer Platform]() Tags: [article](), [business](), [cognitive-load](), [developer-platform](), [executive](), [idp](), [internal-developer-platform](), [leadership](), [platform](), [platform-engineering]() ### AI overview This article presents tactical frameworks for winning sustained executive sponsorship for an Internal Developer Platform. It explains how to translate technical platform benefits into business outcomes such as faster time to market, lower operational costs, reduced security risk, and improved talent retention, while addressing executive objections, modeling ROI, building cross-functional support, and driving adoption. ### Source excerpt Tactical frameworks to secure executive sponsorship for an IDP: translate benefits into business outcomes, model ROI, handle objections, and drive adoption. ## Privilege separation and the validation loop: The two controls that make AI agents safe in regulated industries DevFeed: [Privilege separation and the validation loop: The two controls that make AI agents safe in regulated industries]() Original publisher: [Read original article]() Author: Eric Paulsen Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Security](), [Architecture & Design](), [Developer Platform](), [internal developer platform](), [iac-security](), [prompt injection](), [CI/CD](), [IAM](), [Kubernetes](), [YAML]() Tags: [ai](), [ai-agents](), [ci-cd](), [compliance](), [developer-platform](), [governance](), [iam](), [infrastructure-as-code](), [internal-developer-platform](), [kubernetes](), [prompt-injection](), [security]() ### AI overview The article argues that regulated organizations can deploy useful AI agents safely by combining privilege separation with validation loops into one governance system. It assigns platform teams responsibility for the execution environment, including internal developer platforms, CI/CD pipelines, and policy enforcement, while highlighting risks such as hallucinations, excessive IAM permissions, and prompt injection. ### Source excerpt How platform teams can safely deploy AI agents in regulated industries. Unifying privilege separation and the validation loop creates a single governance system that satisfies security and compliance ## The empathy gap: Why your platform needs UX, not just APIs DevFeed: [The empathy gap: Why your platform needs UX, not just APIs]() Original publisher: [Read original article]() Author: Tatiana Mikhaleva Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [User experience (UX)](), [Platform Engineering](), [internal developer platform](), [Developer Platform](), [dashboards](), [Backstage](), [Kubernetes](), [Terraform](), [dora metrics]() Tags: [backstage](), [developer-platform](), [dora-metrics](), [idp](), [kubernetes](), [logs](), [metrics](), [onboarding](), [platform-engineering](), [product-design](), [terraform](), [ux]() ### AI overview The article argues that Internal Developer Platforms should be designed as products with strong UX, not exposed as collections of APIs. It describes how cognitive friction, unclear errors, outdated documentation, and tool switching reduce developer adoption and productivity. It recommends visual engineering practices such as pipeline graphs, actionable failure messages, and service status dashboards, while questioning an exclusive focus on DORA metrics. ### Source excerpt Discover "the empathy gap" in platform engineering. Learn why relying only on APIs and DORA metrics leads to low Internal Developer Platform (IDP) adoption, and how treating your platform as a product with great UX can reduce cognitive friction and bring developers joy ## Creating a shared platform vision: How platform leaders align teams DevFeed: [Creating a shared platform vision: How platform leaders align teams]() Original publisher: [Read original article]() Author: Mallory Haigh Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [internal developer platform](), [internal developer portal]() Tags: [developer-platform](), [idp](), [internal-developer-platform](), [leadership](), [organizational](), [platform](), [platform-engineering](), [strategy]() ### AI overview This article presents a framework for creating a shared vision for an internal developer platform. It explains that platform initiatives often fail because executives, developers, security, and operations teams have different expectations, incentives, and measures of success. Platform leaders must build stakeholder alignment, communicate shared value, and use deliberate strategy to support genuine adoption. ### Source excerpt Framework for aligning executives, developers, and ops on an internal developer platform vision using shared language, metrics, and product-minded roadmaps ## Platform engineering makes a difference. Here's how to prove it DevFeed: [Platform engineering makes a difference. Here's how to prove it]() Original publisher: [Read original article]() Author: Liz Coolman Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [internal developer platform](), [AI Engineering](), [Developer Platform](), [configuration](), [Security](), [telemetry]() Tags: [ai](), [ai-engineering](), [ai-impact](), [cognitive-load](), [configuration](), [developer-platform](), [encryption](), [engineering](), [idp](), [infrastructure](), [least-privilege](), [metrics](), [performance](), [platform](), [platform-engineering](), [platforms](), [security](), [software](), [speed](), [tooling]() ### AI overview This article explains how platform engineering teams can prove the value of an internal developer platform (IDP) to executives. It describes how IDPs reduce developer friction and cognitive load through standardized golden paths, configuration, and tooling; provide guardrails for security, encryption, and least-privilege access; and help organizations manage the effects of AI on engineering work. It recommends measuring velocity indicators such as cycle time and lead time to change, along with AI adoption, impact, and other metrics, to quantify platform performance and guide improvements. ### Source excerpt Learn how to prove the value of platform engineering to executives. This article outlines the essential metrics--from velocity and AI impact to developer sentiment--needed to quantify the success of your Internal Developer Platform (IDP) and keep pace with evolving AI capabilities. ## AI-powered platforms vs platforms for AI: A platform engineer's guide DevFeed: [AI-powered platforms vs platforms for AI: A platform engineer's guide]() Original publisher: [Read original article]() Author: Sam Barlien Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [internal developer platform](), [Artificial Intelligence](), [Architecture & Design]() Tags: [ai](), [architecture](), [article](), [developer-platform](), [infrastructure](), [internal-developer-platform](), [platform-engineering](), [platforms]() ### AI overview This article distinguishes AI-powered platforms from platforms for AI. AI-powered platforms add artificial intelligence to existing developer workflows and internal developer platforms, while platforms for AI are purpose-built for training models, managing large datasets, orchestrating GPU resources, and serving AI applications. The distinction affects architecture, skills, operational models, infrastructure choices, and platform complexity. ### Source excerpt Understand how AI-powered platforms differ from platforms for AI, why the distinction matters, and how each impacts architecture, teams, and infrastructure decisions. ## Modern Mainframe DevOps: Automate CI/CD for z/OS Application DevFeed: [Modern Mainframe DevOps: Automate CI/CD for z/OS Application]() Original publisher: [Read original article]() Author: Eric Minick Published: 2026-06-10T00:00:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [Mainframe](), [CI/CD](), [DevOps](), [Platform Engineering](), [Deployment](), [Developer experience](), [dora metrics]() Tags: [automated](), [ci](), [ci-cd](), [declarative](), [deployment](), [developer-experience](), [developer-platform](), [developer-productivity](), [devops](), [dora-metrics](), [os](), [pipelines](), [platform](), [platform-engineering](), [platforms](), [software](), [toolchain](), [tooling](), [workflows]() ### AI overview The article explains how platform engineering teams can integrate mainframe applications into unified CI/CD workflows alongside cloud-native services. It argues that replacing isolated, script-heavy mainframe processes with automated, declarative pipelines can improve visibility, coordinate cross-tier releases, and reduce operational overhead. ### Source excerpt Drive developer productivity by replacing brittle, legacy mainframe scripts with declarative, secure, and fully automated multi-tier release pipelines. | Blog ## The Right Team for the Job: From Engineering to Product: A Superpower for Developer Platform... DevFeed: [The Right Team for the Job: From Engineering to Product: A Superpower for Developer Platform...]() Original publisher: [Read original article]() Author: The NYT Open Team Published: 2026-02-11T21:52:17Z Content type: article Language: en Sources: [New York Times]() Topics: [Developer Platform](), [code productivity](), [Software Engineering](), [systems](), [Back end](), [Content Management System](), [Product Management]() Tags: [backend](), [cms](), [developer](), [developer-platform](), [developer-productivity](), [development](), [engineering](), [product](), [product-management](), [software-engineer](), [web-development]() ### AI overview This New York Times Open series article introduces Danny Cassidy, a senior technical product manager in Developer Productivity, and traces his transition from software engineering to product management. It describes his early frontend work, later experience building backend APIs and content management systems, and his interest in connecting engineering decisions with business and user impact. ### Source excerpt The Right Team for the Job: From Engineering to Product: A Superpower for Developer Platform StrategyIntroducing Danny Cassidy, Senior Technical Product Manager, Developer Productivity in Developer PlatformsIllustration by Claire Merchlinsky By Geethu Jacob, Daniel Cassidy, Nikki Larson and Erica Vendetti "PMs actively and effectively engage with engineering and technology decisions, understanding possibilities and consequences." This article is part of a New York Times Open series showcasing the breadth of experiences and backgrounds of our Product Managers. Engineering can fuel product leadership For Danny Cassidy, coding was an early creative outlet. As a high school student, he taught himself to code, trying his hand at frontend web development. "I was very inspired by online communities back then, and how the internet could foster connection for people across the world. So, I first learned how to make extensions on forum software. My first paid gig in high school was building a social networking feature into a site for pet owners so that they could create profile pages for their pets. Those were the days!" Building on the base of that passion, Danny studied information technology in college. "There's a definite craft to software development", he says. "It's not just technical. You are thinking about solving a problem in an elegant and legible way. I always enjoyed that part of the process." As a software engineer, Danny focused on building backend APIs and content management systems (CMS) for media brands. Here, Danny learned to understand how engineering solutions fit into the business context. Engineers "need to know how a solution will evolve and scale over time. And their solutions need to be understood and maintainable by a multitude of people throughout all of this." In 2015, Danny accepted an engineering job at The Times working on the backend APIs that deliver our digital content from our CMS to our desktop and mobile apps. As an engineer at The New Yor [Next page]()