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Summaries are not the original full articles. ## Code, Commits, and Complexity in the GenAI Era: A Longitudinal Study of Team-Based Capstone Projects DevFeed: [Code, Commits, and Complexity in the GenAI Era: A Longitudinal Study of Team-Based Capstone Projects]() Original publisher: [Read original article]() Author: Asma Shakil, Claus Brabrand, Paul Denny Published: 2026-11-06T05:00:00Z Content type: article Language: en Sources: [arXiv: Software Engineering]() Topics: [computational complexity](), [Error Handling](), [code comments](), [generative-ai-tools]() Tags: [ai](), [ai-tools](), [ai-use](), [behaviour](), [code](), [commits](), [complexity](), [courses](), [cs-cy](), [cs-se](), [cyclomatic-complexity](), [development](), [error-handling](), [genai](), [projects](), [repositories](), [size](), [student](), [study](), [team](), [volume]() ### AI overview Across 260 capstone team repositories spanning ten semesters from 2021 to 2025, end-of-semester codebases grew from about 3.4 KLOC in 2021-2023 to about 10 KLOC in 2024-2025. Cyclomatic complexity and error-handling density increased, while comment density did not. Later cohorts also had more commits and greater commit volume, but individual commit sizes stayed largely unchanged, pointing to a changed development rhythm rather than larger edits. Most changes appeared from 2024 onward and were not uniformly monotonic. Because the study did not directly observe AI use, it reports trends coinciding with greater GenAI availability, not effects caused by AI. ### Source excerpt arXiv:2611.07297v1 Announce Type: cross Abstract: Generative AI tools are now widely available to students, but little is known about how team-based project codebases have changed since they appeared. This matters when project courses use repository activity as evidence of progress and learning. Existing studies have largely examined self-reports, controlled tasks, or short individual assignments, leaving open questions around how student codebases evolve in authentic project settings. We present a ten-semester analysis of N=260 capstone team repositories from 2021 to 2025, spanning pre- and post-AI cohorts. We examine three dimensions: code size (lines of code), code characteristics (comment density, error-handling density, and cyclomatic complexity), and development behaviour (commit volume, edit size, and commit frequency). We find that end-of-semester codebases roughly triple, from about 3.4 KLOC in 2021--2023 to about 10 KLOC in 2024--2025. Code characteristics show a clear decoupling: cyclomatic complexity and error-handling density increase, while comment density does not. Later cohorts commit far more often and in greater volume, but individual commit sizes are largely unchanged, suggesting a shift in development rhythm rather than edit granularity. Most changes appear from 2024 onwards and are not uniformly monotonic. We did not directly observe AI use, so we report these as changes that coincide with increased GenAI availability rather than as effects of AI use. Our findings highlight the need to reconsider how student-produced artefacts are used and assessed in project courses. ## Learn With Mentor AI: Getting More Out of Video Courses DevFeed: [Learn With Mentor AI: Getting More Out of Video Courses]() Original publisher: [Read original article]() Author: Philipp Acsany Published: 2026-11-05T14:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [AI Chat](), [Learning](), [Tutorial](), [Python](), [Tool]() Tags: [ai](), [courses](), [learn](), [mentor](), [python](), [video]() ### AI overview Mentor AI can use a Real Python lesson's transcript and the learner's site activity to answer questions in context, recommend a learning order, and support review. While a lesson is paused, learners can ask what the instructor just said, jump to a cited timestamp, or select transcript text for a more precise explanation; lesson menus also offer recaps, one-question-at-a-time quizzes, and notes for resuming later. The assistant cannot inspect local files, and it may miss lesson downloads, so learners can share terminal output and tool versions when troubleshooting and check course materials themselves. The article's uv example explains why a current installation may differ from the recording: uv 0.12 and later defaults to a packaged `src/` layout, while the course uses top-level `main.py`; `uv init --no-package` matches that course layout. The article advises checking documentation before changing project setup. ### Source excerpt Use Mentor AI while you watch Real Python video courses. Ask what the instructor just said, chase side questions, and quiz yourself before the next lesson. ## The 8 best AI courses for beginners in 2026 DevFeed: [The 8 best AI courses for beginners in 2026]() Original publisher: [Read original article]() Author: Katie Paterson Published: 2026-11-05T04:00:00Z Content type: article Language: en Sources: [Zapier]() Topics: [Artificial Intelligence](), [Learning](), [AI Strategy]() Tags: [2026](), [8-best](), [ai](), [ai-at-work](), [ai-courses](), [ai-fundamentals](), [ai-generated-images](), [ai-marketing](), [ai-prompts](), [ai-strategy](), [ai-training](), [beginners](), [best](), [courses](), [free](), [productivity](), [skills](), [survey](), [tech](), [technology](), [upskilling]() ### AI overview The eight recommended beginner AI courses range from broad workplace introductions to specialized training in business leadership, marketing, AI foundations, and responsible use. DeepLearning.AI's AI for Everyone is a broad, four-module introduction, free in read-only mode; graded assignments and a certificate cost extra. LinkedIn's business path focuses on prompts, content, research, and image generation, while Google's leader path targets organizational AI adoption and limits free labs through credits. Coursera options from Penn and IBM offer longer business and practical curricula under paid subscriptions after a trial; IBM includes a code-free Watson chatbot introduction. Free alternatives include Helsinki's self-paced, text-based Elements of AI, HubSpot's short marketing video course, and Anthropic's four-hour AI Fluency course with practical exercises and a completion badge. The article notes differences in length, format, audience, credentials, and access costs, and recommends applying what learners study. ### Source excerpt Upskilling in AI is just about the most productive thing you could do with your free time right now. With every day that passes, AI technology is making strides, and the demand for AI-related skills increases along with it. In fact, a Zapier survey found that 35% of enterprise leaders say AI skill gaps among their employees are a barrier to AI adoption at their company. To help close the knowledge gap, big tech companies have been publishing high-quality AI learning content. Whether you're looki ## TutorLoom: A Self-Hosted Learning Platform That Goes Beyond Online Courses DevFeed: [TutorLoom: A Self-Hosted Learning Platform That Goes Beyond Online Courses]() Original publisher: [Read original article]() Author: Jeremy Published: 2026-11-01T12:21:57Z Content type: article Language: en Sources: [Noted]() Topics: [Learning](), [Self-hosted](), [Homelab](), [Svelte]() Tags: [administration](), [advanced](), [android](), [apache-2-0](), [application](), [applications](), [article](), [backend](), [basics](), [beginner](), [community](), [community-edition](), [courses](), [free](), [learning](), [manage](), [online](), [organizations](), [self-hosted](), [self-hosted-web-tools](), [students]() ### AI overview TutorLoom is a self-hosted learning platform for building structured courses and managing students. Courses can be arranged into chapters and lessons, with attached documents, quizzes, prerequisites, assignment feedback, progress dashboards, student batches, spreadsheet imports, points, levels, and PDF certificates. Students also have Android and iOS apps; course creation and administration use the web interface. The Community edition is free under Apache 2.0 and supports course creation and student management, while course import/export and other advanced features require Enterprise. Deployment uses Docker Compose with PostgreSQL, Redis, Django, and React; the provided Compose configuration targets local development and should be prepared for production before internet exposure. The text notes limited independent user feedback, so classroom performance at scale is unclear. ### Source excerpt TutorLoom lets organizations create courses and manage students through a self-hosted learning platform, with a free Community edition. ## If we stop, we lose DevFeed: [If we stop, we lose]() Original publisher: [Read original article]() Author: Andy Bell Published: 2026-10-29T11:55:00Z Content type: opinion Language: en Sources: [Piccalilli - Everything]() Topics: [Web Development](), [Learning](), [Frontier AI]() Tags: [ai](), [courses](), [css-tricks](), [digitalocean](), [education](), [educators](), [independent](), [industry](), [llms](), [velocity](), [web](), [websites]() ### AI overview The author argues that web education remains necessary because LLMs do not replace the experience, specialist skills, and creativity needed to build high-quality products that work for people. They say educators can help address a widening skills gap as entry-level roles shrink and developers work under LLM mandates. Piccalilli has seen fewer posts and courses amid industry-wide declines and fatigue; inspired by CSS-Tricks returning as an independent publisher, the author is reopening guest authorship to help revive the site and encourage educators and bloggers to keep sharing what they know. The excerpt also predicts AI will settle into a niche role, while acknowledging the technology is here to stay. ### Source excerpt It's been a rather morale draining era in the making websites industry since the wider tech industry decided to gamble everything on LLMs. We at Piccalilli see it amongst the community and feel it ourselves. You'll also have noticed the velocity of posts has slowed down somewhat on this website with no new courses announced either. There's a couple of reasons for that. First, the numbers have taken a dramatic tumble -- industry-wide -- but also, aside from being very busy in the studio, we've been tired. Swimming against this particular current will do that, even for folks like us that have always operated like that. Something else you might have noticed is that a lot of other educators have gone a lot quieter this year too. I'm writing this post today to hopefully try and fix that. A shot in the arm I had a delightful conversation with CSS-Tricks head honcho, Geoff, yesterday. Aside from the excellent vibes as a result of CSS-Tricks being back as an independent publisher, I started in a rather glum mood. After spending a few minutes listening to Geoff's exciting plans though I really perked up. We're nowhere near CSS-Tricks here, but we've always looked up to them as an example of what years and years at the top of your game looks like. Sure, the DigitalOcean acquisition didn't work out, but the fact that the publication is not only back, but well up for the fight against the supposed death of web education is really inspiring to me. I needed that win, as did many others. I needed it so much, it's spurred me on to write this article to hopefully give us all a shot in the arm. There is no inevitable future and education will always matter A comment I see all the time is "we don't need articles and courses because we can just ask an LLM now", which I guess is true, but I could also eat an entire can of spray cheese. It ain't gonna nourish me! AI technologies have given anyone the ability to bring their ideas to life, but to produce a high quality end product that actua ## Preparing for Your Next Certification Could Start with Your Visual Studio Subscription DevFeed: [Preparing for Your Next Certification Could Start with Your Visual Studio Subscription]() Original publisher: [Read original article]() Author: James Rempt Published: 2026-10-28T22:30:00Z Content type: article Language: en Sources: [Visual Studio]() Topics: [Learning](), [Visual Studio Subscriptions](), [Microsoft](), [Pluralsight]() Tags: [academy](), [administration](), [administrator](), [agents](), [ai](), [ai-applications](), [ai-apps](), [ai-powered](), [ai-powered-applications](), [ai-services](), [azure](), [azure-ai](), [business-continuity](), [certification](), [courses](), [labs](), [resources](), [skills](), [subscription](), [visual-studio]() ### AI overview Eligible Visual Studio Subscriptions can include Cloud Academy and Pluralsight training to help prepare for Microsoft certification exams. The excerpt highlights Pluralsight resources aligned with AI-103, Cloud Academy and Pluralsight training for AZ-104, and both providers' AZ-305-aligned resources; earning Azure Solutions Architect Expert also requires Azure Administrator Associate certification. Courses, learning paths, guided labs, practical exercises, and AI-powered learning assistants are described as ways to study and practice. Subscribers whose plans include Azure monthly credits can use eligible services for development practice. Benefit eligibility, access duration, and course selection vary by subscription, and exam fees are separate unless otherwise specified. ### Source excerpt Are you thinking about earning a Microsoft certification to help advance your career, build on your existing skills, or meet new requirements at work? If so, you may already be wondering where to start. Which courses, labs, and hands-on exercises will help you prepare? How much time will it take to find the right resources, [...] The post Preparing for Your Next Certification Could Start with Your Visual Studio Subscription appeared first on Visual Studio Blog. ## Publishing LMS courses with a Kiro SCORM pipeline DevFeed: [Publishing LMS courses with a Kiro SCORM pipeline]() Original publisher: [Read original article]() Author: Omar Gonzalez Published: 2026-10-27T17:23:23Z Content type: tutorial Language: en Sources: [AWS Architecture Blog]() Topics: [Kiro](), [Agentic AI](), [Learning](), [CI/CD](), [Publishing]() Tags: [2](), [advanced-300](), [agentic](), [agentic-ai](), [ai](), [automate](), [courses](), [how-to](), [kiro](), [learning](), [learning-management-system](), [management](), [material](), [packages](), [pipeline](), [publishing](), [raw](), [system](), [technical-how-to](), [training](), [upload](), [with]() ### AI overview The article describes a local Kiro pipeline that turns training materials into SCORM 1.2 packages for LMS upload. In conversation, Kiro plans a course manifest, writes one lesson per module, lints lessons, builds an HTML course and ZIP, then validates the package. Steering files preserve SCORM knowledge, authoring conventions, and repository rules; hooks automate linting on save, package validation, and proposed steering updates. Authors can set page dwell time, expected durations, and the passing score. The walkthrough requires Kiro, Node.js 20+, Python 3.11+, and `zip`; it recommends serving the build locally for visual review and testing the ZIP in the target LMS because systems vary. A small sample reportedly packaged in minutes. The pipeline runs as local scripts and a Kiro session, with no cloud resources to remove. ### Source excerpt See how to use Kiro, an agentic AI, to automate converting raw training material into compliant SCORM packages that are ready to upload to a learning management system (LMS). ## New OpenSSF Guide: Finding and Fixing Vulnerabilities Using AI DevFeed: [New OpenSSF Guide: Finding and Fixing Vulnerabilities Using AI]() Original publisher: [Read original article]() Author: OpenSSF Published: 2026-10-20T20:05:39Z Content type: article Language: en Sources: [Open Source Security Foundation]() Topics: [vulnerability management](), [Artificial Intelligence](), [code security](), [openssf](), [vulnerability scanning](), [Learning](), [Security research](), [Software Process](), [CI/CD](), [Fuzzing/Fuzz testing](), [Static code analysis]() Tags: [2026](), [ai](), [ai-agent](), [ai-ml](), [analysis](), [attacks](), [automated](), [best-practices](), [blog](), [browser](), [bug](), [bug-fixes](), [bugs](), [ci-cd](), [code](), [course](), [courses](), [crowdstrike](), [guide](), [openssf](), [secure-development](), [software-security](), [vulnerabilities]() ### AI overview OpenSSF's developer guide recommends a repeatable process for using AI to find and fix software vulnerabilities: prepare the AI environment and project, identify and deduplicate findings, validate them separately, triage and fix issues, verify changes, then report, release, deploy, and repeat. Start with simple prompts and rerun AI using multiple approaches because results are nondeterministic. Sandbox agents with human gates and a kill switch; never merge AI patches without automated tests and human peer review, since patches can miss root causes or introduce regressions. Turn fixes into regression tests, static analysis rules, or CI fuzzing to prevent recurrence. The article presents the guide as tool-independent and says an online course is planned. ### Source excerpt AI has gotten good at finding software vulnerabilities, and attackers are already using it. For example, "AI-enabled adversaries increased attacks by 89% year-over-year" according to the CrowdStrike 2026 Global Threat Report. If you maintain or develop software, it is critical to find and fix vulnerabilities before attackers exploit them. ## Claude Desktop v2.0: You Don't Need VS Code Anymore! DevFeed: [Claude Desktop v2.0: You Don't Need VS Code Anymore!]() Original publisher: [Read original article]() Author: Paweł Huryn Published: 2026-10-20T15:12:41Z Content type: tutorial Language: en Sources: [The Product Compass]() Topics: [Claude Code](), [Claude](), [AI-assisted coding](), [Visual Studio Code](), [generative-ai-tools](), [Agent Browser](), [Multi Agent Systems](), [anthropic](), [Pull Request](), [codex]() Tags: [agentic-systems](), [agents](), [agents-md](), [ai](), [analyze](), [apps](), [artifacts](), [automate](), [claude](), [code](), [collections](), [courses](), [desktop](), [features](), [mcp](), [mcp-servers](), [servers](), [skills](), [v2](), [vs-code]() ### AI overview The article recommends Claude Desktop's Code tab as a lower-friction way for Product Managers to prototype and build with Claude Code without VS Code. It describes local project folders with AGENTS.md instructions, connector and permission setup, reusable skills, and a built-in browser for running apps and reviewing changes. The author says Cowork lacks app previews, project-specific skills and connections, guardrails, and AGENTS.md support, and reports that its 10 GB virtual machine limit became restrictive in their tests. Other described features include artifacts, scheduled tasks, remote control, cloud sessions, and session compaction. Code access requires a paid Pro, Max, Team, or Enterprise subscription; the article's model and usage recommendations reflect the author's experience. ### Source excerpt How to start, the features that matter for PMs, and why I now recommend the Code tab. Plus my collections of skills, MCP servers, free courses, and AGENTS.md snippets. ## AI product-management expertise requires more than courses, certificates, and tool familiarity DevFeed: [AI product-management expertise requires more than courses, certificates, and tool familiarity]() Original publisher: [Read original article]() Author: David Pereira Published: 2026-09-24T12:29:17Z Content type: opinion Language: en Sources: [Untrapping Product Teams]() Topics: [Artificial Intelligence](), [Large Language Model](), [Agile]() Tags: [agent](), [agile](), [ai](), [building-with-ai](), [certificates](), [certification](), [courses](), [llms](), [product](), [product-owner](), [prompting]() ### AI overview The article argues that learning AI tools, improving prompts, building agents, and collecting courses or certificates does not necessarily make someone a better product manager. It compares the current AI-product-management training market with the earlier Agile certification boom and emphasizes practical field experience over credentials. ### Source excerpt Something interesting is happening now. ## Save 35% on all courses for two weeks only DevFeed: [Save 35% on all courses for two weeks only]() Original publisher: [Read original article]() Author: Andy Bell Published: 2026-09-09T09:55:00Z Content type: article Language: en Sources: [Piccalilli - Everything]() Topics: [CSS](), [JavaScript]() Tags: [courses](), [design](), [education]() ### AI overview A two-week promotion offers 35% off all courses with the PRICEFALL coupon code through September 23. Purchasing Power Parity discounts are compared with the promotion so customers receive the lower price, and letter templates are provided for requesting course funding. ### Source excerpt The summer is over and the autumn (or fall, for our American friends) is here, so we're offering a huge 35% discount on all courses if you use the coupon code PRICEFALL at checkout. This is the time of year where people, fresh off a summer break, like to skill up, so we're making that easier with this large discount. We're running the discount for only two weeks -- ending September 23 -- so make sure you don't miss out. Purchasing Power Parity (PPP) Our PPP discounts are always based on the full price of the course, so our system will work out which deal is going to be the best for you. If your PPP discount is cheaper than the PRICEFALL discount, we'll present that. If the PRICEFALL discount is cheaper, we'll present that. We're all about people getting incredibly high quality education that's as affordable as possible. If you need to convince your boss We've got you covered with letter templates for every course: Complete CSS JavaScript for Everyone Mindful Design Check it out! ## Khronos at SIGGRAPH 2026: Open Standards Reach New Heights DevFeed: [Khronos at SIGGRAPH 2026: Open Standards Reach New Heights]() Original publisher: [Read original article]() Author: jphilips (jeff@khronosgroup.org) Published: 2026-08-21T13:00:00Z Content type: news Language: en Sources: [Blogs Khronos Blog]() Topics: [Content Creation / Rendering](), [real-time rendering](), [real-time 3D](), [GPU rendering](), [WebGL]() Tags: [2026](), [3d](), [assets](), [birds](), [blog](), [computing](), [courses](), [delivered](), [discussions](), [feather](), [future](), [graphics](), [neural](), [open](), [open-standards](), [organization](), [real-time](), [rendering](), [sessions](), [snapshot](), [standards]() ### AI overview Khronos presented more than 20 SIGGRAPH 2026 sessions across graphics, XR, 3D assets, rendering and real-time shading, including a dedicated Developer Day with working-group and Machine Learning Council updates. Slang featured in courses, talks and BOFs focused on shader complexity and high-performance graphics, compute and AI across GPUs and platforms. Another major topic was the submission of glTF 2.0's KHR_interactivity extension for ratification; the excerpt says it enables portable, self-contained interactive behaviors, but cuts off before explaining further details. ### Source excerpt SIGGRAPH 2026 in Los Angeles delivered a clear snapshot of the future of graphics and spatial computing--and Khronos was at the center of it. The organization presented more than 20 sessions spanning hands-on courses and in-depth Birds of a Feather (BOF) discussions on neural graphics, XR, 3D assets, rendering, and real-time shading. ## Advancing AI fluency at Capital One DevFeed: [Advancing AI fluency at Capital One]() Original publisher: [Read original article]() Author: Capital One Tech Published: 2026-08-11T15:12:03Z Content type: article Language: en Sources: [Capital One Tech]() Topics: [Artificial Intelligence](), [Learning](), [software-development](), [agentic-coding](), [Machine learning]() Tags: [advanced-ai-capabilities](), [advancing-ai](), [ai](), [ai-coding-tools](), [ai-learning](), [ai-literacy](), [ai-machine-learning](), [aifluency](), [architect](), [bank](), [build](), [business](), [cloud](), [cloud-engineering](), [coding](), [coding-tools](), [college](), [company](), [complex](), [content](), [courses]() ### AI overview Capital One describes AI fluency as a company-wide operating capability built on its earlier investments in data, cloud and in-house engineering. It launched an AI learning hub for more than 60,000 associates, offering paths from foundational literacy to advanced workflows and domain-specific tools. For engineers, AI coding tools are intended to streamline routine tasks and free attention for architecture and complex problem-solving. The company says learning is built into work through dedicated experimentation time, leadership support and hands-on training with Google and Anthropic. A month-long agentic coding program involved more than 10,000 engineers in a live session, followed by weekly workshops and coding challenges based on enterprise problems; the curriculum is expanding to agentic developer experience, multi-agent orchestration and token efficiency. ### Source excerpt Capital One is raising the bar on AI fluency by making it a fundamental part of how we operate. At Capital One, we sought early on to operate like a bank that a technology company would build--modernizing our data ecosystem, going all in on the cloud and building an in-house engineering workforce. That deep investment has set us up to thrive with AI at enterprise scale today. As we continue to build at the forefront of technology and AI, sustaining an edge requires more than just deploying off-the-shelf models. Because at Capital One, we don't just use AI--we build AI. Delivering proprietary AI solutions across the enterprise requires investing deeply in the people who architect, customize and build with them. That's why our enterprise-wide emphasis on AI fluency isn't an ad-hoc training program. It is a fundamental part of how we operate, innovate and push the boundaries of what's possible for our business and our more than 100 million customers. AI skill building at enterprise scale Building on nearly a decade of insights from internal learning platforms and initiatives like Tech College--which offers hundreds of courses and offerings on topics like AI, machine learning, data, cloud engineering and beyond--this year we launched a dynamic, enterprise-wide AI learning hub to over 60,000 Capital One associates. More than a static content library, the platform meets associates where they are, whether that means building foundational AI literacy, mastering advanced workflows or getting training for specialized tools purpose-fit for their domains. We believe AI fluency shouldn't be treated as a side-of-desk exercise or an isolated science project; it must be a shared capability across the entire company. This is especially true for our engineers and developers. AI coding tools have redefined what high-performance software development looks like. By leveraging advanced AI capabilities to help streamline "run-the-engine" tasks, our engineers are more free to focus on complex ## Best UX design courses: Top options for beginners and professionals DevFeed: [Best UX design courses: Top options for beginners and professionals]() Original publisher: [Read original article]() Author: Webflow Team Published: 2026-06-20T00:00:00Z Content type: article Language: en Sources: [Webflow Blog]() Topics: [User Experience](), [Learning](), [web design]() Tags: [beginners](), [career](), [certifications](), [courses](), [design](), [fundamentals](), [google](), [guide](), [information-architecture](), [interaction-design](), [prototyping](), [udemy](), [ux]() ### AI overview This guide compares eight UX design courses for beginners and career changers, covering options from Udemy, Google, SuperHi, Envato Tuts+, Designlab, IxDF, Springboard, and General Assembly. It outlines course focus, learning format, and suitability for different goals. ### Source excerpt Explore eight of the best UX design courses that cover fundamentals, career advice, advanced concepts, and resources for learners of all skill levels. ## MIT in the media: For the future of tech, "Massachusetts can absolutely lead" DevFeed: [MIT in the media: For the future of tech, "Massachusetts can absolutely lead"]() Original publisher: [Read original article]() Published: 2026-06-18T04:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [AI Strategy](), [Robotics]() Tags: [ai](), [alumni-ae](), [applied-ai](), [articles](), [artificial-intelligence](), [biotechnology](), [cambridge-boston-and-region](), [computer-science-and-technology](), [courses](), [energy](), [faculty](), [funding](), [health](), [manufacturing](), [president-sally-kornbluth](), [quantum-computing](), [quantum-technologies](), [research](), [robotics](), [startup](), [startups](), [students](), [tech](), [technology-and-society]() ### AI overview MIT's research, AI initiatives, online courses, and entrepreneurship programs are highlighted in coverage of Massachusetts' technology ecosystem and its potential for continued leadership. ### Source excerpt Leaders, faculty across MIT discuss fostering innovation and talent in Greater Boston in special series of articles published alongside the outlet's annual list of 'Tech Power Players' ## What are cohort courses? DevFeed: [What are cohort courses?]() Original publisher: [Read original article]() Published: 2026-05-18T00:00:00Z Content type: opinion Language: en Sources: [Kt. Academy]() Topics: [Learning](), [Kotlin]() Tags: [books](), [courses](), [kotlin](), [learning](), [workshop-learning-programming](), [workshops]() ### AI overview A text version of a video describing the evolution of technical learning formats from books and workshops to cohort courses. The author explains the advantages of workshops for teams, including focused instruction, live coding, exercises, unit tests, and interactive challenges. ### Source excerpt The evolution of learning formats, from books, workshops to cohort courses. ## 50 Best Digital Products to Sell Online in 2026 DevFeed: [50 Best Digital Products to Sell Online in 2026]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-04-14T00:00:00Z Content type: article Language: en Sources: [Dodo Payments Blog]() Topics: [Product Management](), [Business, Industry, Usability, User Experience, User Research, Web Strategy](), [API Business Models](), [dataset]() Tags: [2](), [2026](), [3](), [advice](), [all](), [benchmarks](), [best](), [courses](), [datasets](), [demand](), [digital](), [digital-products](), [ideas](), [online](), [pricing](), [product](), [products](), [software](), [templates](), [tools]() ### AI overview The excerpt recommends choosing a digital product that fits your skills, validating demand before building, and launching a small MVP. It suggests checking whether buyers already pay for similar products and treating a pre-sale with a real checkout as stronger evidence than a survey. It characterizes software as having the highest revenue ceiling through recurring subscriptions, while templates and courses are quicker, lower-barrier options; templates, printables, and presets can sell with little ongoing support once they attract traffic, whereas software may need updates and support. For sales, it lists one-time payments, subscriptions, software license keys, and usage-based billing for APIs. The article says a seller can start with payment links and add a storefront later. It promotes Dodo Payments for global checkout, digital delivery, and tax handling, but the excerpt gives no independent comparison of providers. The individual product ideas and pricing benchmarks referenced in the introduction are not included in this excerpt. ### Source excerpt 50 proven digital product ideas organized by category - from templates and courses to software tools and datasets. Includes pricing benchmarks and demand indicators. ## Launching comprehensive resources to master coding interviews DevFeed: [Launching comprehensive resources to master coding interviews]() Original publisher: [Read original article]() Author: Ashish Pratap Singh Published: 2026-04-05T13:30:09Z Content type: release Language: en Sources: [AlgoMaster Newsletter]() Topics: [Programming](), [LeetCode](), [Artificial Intelligence]() Tags: [ai](), [c-plus-plus](), [c-sharp](), [coding](), [courses](), [dsa](), [javascript](), [launch](), [python](), [typescript]() ### AI overview AlgoMaster launches a collection of resources for data structures and algorithms study and coding interview preparation, including a problem list, course, company-specific practice, animations, an AI-powered coding interview simulator, and an in-platform code editor and evaluation feature. ### Source excerpt I'm excited to launch a comprehensive set of resources on algomaster.io to help you master DSA and prepare for coding interviews: ## Level Up Your End User Computing Skills: AWS Digital Course to Badge Success DevFeed: [Level Up Your End User Computing Skills: AWS Digital Course to Badge Success]() Original publisher: [Read original article]() Author: Phil Persson Published: 2026-01-22T19:43:42Z Content type: release Language: en Sources: [Desktop and Application Streaming]() Topics: [Amazon WorkSpaces](), [Computing](), [Cloud](), [Amazon Web Services]() Tags: [amazon-workspaces](), [amazon-workspaces-core](), [amazon-workspaces-secure-browser](), [aws-end-user-computing](), [aws-training-and-certification](), [certification](), [cloud](), [courses](), [desktop-application-streaming](), [end-user-computing](), [enterprise](), [infrastructure]() ### AI overview AWS announces a digital enablement pathway for Amazon WorkSpaces centered on the AWS End User Computing Specialty Badge. The pathway includes three progressive courses and a 60-question certification exam covering cloud-based desktop delivery, VDI, DaaS, and enterprise deployments. ### Source excerpt We're excited to announce a comprehensive digital enablement pathway for Amazon WorkSpaces: the AWS End User Computing Specialty Badge. Our AWS partners are integral in driving cloud innovation and delivering transformative solutions worldwide. But as End User Computing (EUC) evolves, your technical team needs the proper resources to validate and maintain expertise to effectively utilize [...] ## Launching our first OpenAI Certifications courses DevFeed: [Launching our first OpenAI Certifications courses]() Original publisher: [Read original article]() Published: 2025-12-09T06:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [Learning]() Tags: [2026](), [about](), [academic](), [accenture](), [ai](), [ai-skills](), [ai-tool](), [ai-tools](), [build](), [certifications](), [courses](), [first](), [foundations](), [global-affairs](), [help](), [learn](), [openai](), [people](), [real-world](), [skills](), [work]() ### AI overview OpenAI is launching two practical AI courses as part of a goal to certify 10 million Americans by 2030. AI Foundations will pilot in ChatGPT with employers and public-sector partners; learners can practice real tasks, get contextual feedback, and earn a job-skills certificate that can contribute toward a broader OpenAI Certification with additional courses and a project. ChatGPT Foundations for Teachers is available on Coursera for K-12 educators, covering ChatGPT basics, personalization, and classroom and administrative uses; OpenAI plans to bring it into ChatGPT and ChatGPT for Teachers in early 2026. Coursera, ETS, and Credly by Pearson will support learning design, assessment rigor, and portable evidence of skills. OpenAI says it will learn from initial pilots before expanding access. ### Source excerpt Learn how OpenAI's new certifications and AI Foundations courses help people build real-world AI skills, boost career opportunities, and prepare for the future of work. ## New GraphQL courses for iOS and Android development DevFeed: [New GraphQL courses for iOS and Android development]() Original publisher: [Read original article]() Author: Jeff Auriemma Published: 2025-03-05T12:48:29Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [GraphQL](), [Learning](), [Android](), [iOS](), [Kotlin]() Tags: [android](), [android-development](), [announcement](), [api](), [apollo](), [courses](), [development](), [graphql](), [ios]() ### AI overview Apollo launched free, two-part GraphQL courses for iOS and Android developers through its Apollo Odyssey learning platform. The courses cover fundamentals for teams starting with GraphQL and using Apollo iOS with Swift or Apollo Kotlin with Kotlin. The text also points learners to additional Odyssey courses for UI developers, backend developers, and platform engineers, and invites course suggestions through the Apollo Community. ### Source excerpt Did you know mobile application performance was the use case that drove the initial development of GraphQL? GraphQL has grown by leaps and bounds and is now used to power entire API platforms, but it remains an essential part of the mobile application developer's toolkit. To that end, we are excited to launch new, free courses for iOS and Android developers in the Apollo Odyssey learning platform! ## How to use your development budget in 2024 as a Tech Lead DevFeed: [How to use your development budget in 2024 as a Tech Lead]() Original publisher: [Read original article]() Author: Anemari Fiser Published: 2024-11-07T13:44:45Z Content type: tutorial Language: en Sources: [Level up as a Tech Lead]() Topics: [Tech Lead](), [software-development](), [Documentation]() Tags: [career](), [conferences-events](), [cost](), [courses](), [development](), [how-to](), [skills](), [tech-lead](), [training]() ### AI overview A practical guide for Tech Leads on using a development budget. It explains how to request funding, present the training's value and cost, address its impact on work, follow up with a manager, and consider spending the budget on books, conferences, courses, or coaching. ### Source excerpt Don't leave money on the table! 19 ideas for spending your development budget: ## Get back to school! Supercharge your learning with MDN and Scrimba DevFeed: [Get back to school! Supercharge your learning with MDN and Scrimba]() Original publisher: [Read original article]() Author: hermina-condei Published: 2024-09-12T00:00:00Z Content type: news Language: en Sources: [MDN Blog]() Topics: [Learning](), [Front end](), [Web Development](), [CSS](), [HTML](), [JavaScript](), [React](), [Responsive Design](), [Web Accessibility (a11y)](), [Git](), [GitHub](), [Netlify]() Tags: [accessibility](), [apis](), [courses](), [deployment](), [development](), [git](), [github](), [html](), [javascript](), [learning](), [netlify](), [react](), [responsive-design](), [web-development]() ### AI overview MDN announces a 30% discount on Scrimba's Frontend Developer Career Path for one month. The program covers HTML, CSS, JavaScript, APIs, accessibility, responsive design, React, Git, GitHub, Netlify deployment, user interface design, and career guidance, with interactive lessons and a live IDE. ### Source excerpt For many of us, the holidays are over, and the time has come to focus. Now is an ideal time to dive into learning web development, and you're in luck -- MDN and Scrimba are offering a 30% discount on select courses for the next month! ## An Open Course on LLMs, Led by Practitioners DevFeed: [An Open Course on LLMs, Led by Practitioners]() Original publisher: [Read original article]() Author: Hamel Husain Published: 2024-07-29T07:00:00Z Content type: release Language: en Sources: [Hamel Husain]() Topics: [Large Language Model](), [Enhancing AI model performance](), [Learning](), [Retrieval Augmented Generation (RAG)](), [Fine-tuning](), [Machine learning]() Tags: [ai](), [ai-products](), [course](), [courses](), [evals](), [fine-tuning](), [free](), [information-retrieval](), [llms](), [machine-learning](), [mlops](), [open](), [recommendation-systems](), [retrieval-augmented-generation](), [retrieval-augmented-generation-rag](), [survey](), [technical](), [workshops]() ### AI overview Mastering LLMs is a free, applied survey course for technical practitioners who already have basic familiarity with LLMs and want guidance on improving AI products. More than 25 industry practitioners teach topics including evaluation, retrieval-augmented generation, fine-tuning, application building, and prompt engineering, drawing on related fields such as information retrieval, machine learning, recommendation systems, MLOps, and data science. The course offers over 40 hours of workshops and talks, organized by subject with chapter summaries, notes, slides, and further resources so learners can browse selectively. Beginners are directed to A Hacker's Guide to LLMs first; those interested in fine-tuning are also pointed to an Instruction Tuning llama2 tutorial. The supplied text presents it as material adapted and annotated from a paid course. ### Source excerpt Today, we are releasing Mastering LLMs, a set of workshops and talks from practitioners on topics like evals, retrieval-augmented-generation (RAG), fine-tuning and more. This course is unique because it is: Taught by 25+ industry veterans who are experts in information retrieval, machine learning, recommendation systems, MLOps and data science. We discuss how this prior art can be applied to LLMs to give you a meaningful advantage. Focused on applied topics that are relevant to people building AI products. Free and open to everyone . We have organized and annotated the talks from our popular paid course.1 This is a survey course for technical ICs (including engineers and data scientists) who have some experience with LLMs and need guidance on how to improve AI products. Speakers include Jeremy Howard, Sophia Yang, Simon Willison, JJ Allaire, Wing Lian, Mark Saroufim, Jane Xu, Jason Liu, Emmanuel Ameisen, Hailey Schoelkopf, Johno Whitaker, Zach Mueller, John Berryman, Ben Clavié, Abhishek Thakur, Kyle Corbitt, Ankur Goyal, Freddy Boulton, Jo Bergum, Eugene Yan, Shreya Shankar, Charles Frye, Hamel Husain, Dan Becker and more Getting The Most Value From The Course Prerequisites The course assumes basic familiarity with LLMs. If you do not have any experience, we recommend watching A Hacker's Guide to LLMs. We also recommend the tutorial Instruction Tuning llama2 if you are interested in fine-tuning 2. Navigating The Material The course has over 40 hours of content. To help you navigate this, we provide: Organization by subject area: evals, RAG, fine-tuning, building applications and prompt engineering. Chapter summaries: quickly peruse topics in each talk and skip ahead Notes, slides, and resources: these are resources used in the talk, as well as resources to learn more. Many times we have detailed notes as well! To get started, navigate to this page and explore topics that interest you. Feel free to skip sections that aren't relevant to you. We've organized the talks [Next page]()