# Vibe coding A software-development approach in which prompts direct AI coding tools to generate or modify application code. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## The aircraft might not be flying, but the certificate has gone on vacation DevFeed: [The aircraft might not be flying, but the certificate has gone on vacation]() Original publisher: [Read original article]() Author: Richard Speed Published: 2026-09-12T09:00:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Cybersecurity](), [Artificial Intelligence](), [NVLink](), [Vibe coding](), [ARKTunnel](), [Cybercrime](), [.NET](), [how to create smooth CSS transitions]() Tags: [ai](), [bork](), [cybersecurity](), [malware](), [nvidia](), [offbeat](), [phishing](), [security](), [tailwind](), [ubuntu]() ### AI overview A news roundup covering security incidents, AI-related developments, semiconductor infrastructure, phishing, ransomware, open-source software, and web development. The supplied title concerns an aircraft certificate, while the body mainly contains unrelated headlines. ### Source excerpt Information is not forthcoming from this screen ## AI programming: a layered model DevFeed: [AI programming: a layered model]() Original publisher: [Read original article]() Author: Daniel Lemire Published: 2026-09-05T14:02:12Z Content type: opinion Language: en Sources: [Daniel Lemire]() Topics: [AI-assisted coding](), [Vibe coding](), [Programming](), [Software]() Tags: [ai](), [ai-assisted-coding](), [code](), [programming](), [software](), [vibe-coding]() ### AI overview This opinion proposes a layered model for AI-assisted coding: maintain a small, deliberately managed core whose code is read and tested, while allowing outer layers to change rapidly and absorb bugs. Dependencies should flow inward, with outer layers depending on the core but not vice versa. ### Source excerpt In the late 1960s and 1970s, people like David Parnas faced a problem. A decade earlier there were almost no programmers. Suddenly there were hordes of inexperienced ones. What could have been a golden era was turning into a mess: far more software, much of it falling apart. It sent Edsger Dijkstra into a ... Continue reading AI programming: a layered model ## AI-assisted customization may reshape how software is built DevFeed: [AI-assisted customization may reshape how software is built]() Original publisher: [Read original article]() Author: Mike Yerou Published: 2026-09-01T12:42:38Z Content type: opinion Language: en Sources: [Rock and Null]() Topics: [Software](), [Vibe coding](), [AI-assisted coding](), [Agent Harness](), [Cloudflare]() Tags: [agent-harness](), [ai](), [ai-coding-agents](), [cloudflare](), [software](), [software-engineering](), [thoughts](), [vibe-coding]() ### AI overview The article argues that AI coding agents and vibe coding are lowering the cost of custom software, but suggests the future may involve customizing capable software platforms rather than building and maintaining applications entirely from scratch. ### Source excerpt AI is changing the economics of custom software. The future may not be everyone building from scratch, but rather customizing a strong software base to fit their specific needs. ## How Non-Coders Use AI to Build Vibe-Coded Businesses DevFeed: [How Non-Coders Use AI to Build Vibe-Coded Businesses]() Original publisher: [Read original article]() Author: Peter Yang Published: 2026-08-30T14:03:13Z Content type: article Language: en Sources: [Behind the Craft]() Topics: [Vibe coding](), [coding](), [Artificial Intelligence](), [Publishing](), [Security]() Tags: [ai](), [apps](), [business](), [coding](), [distribution](), [examples](), [payments](), [prototype](), [revenue](), [security](), [vibe-coding]() ### AI overview The article presents three examples of vibe-coded apps that reached six-figure revenue and outlines four steps for turning a prototype into a business, covering publishing, security, payments, and distribution. ### Source excerpt 3 examples of vibe-coded apps that reached six figures in revenue, plus 4 steps to turn your prototype into a real business, including publishing, security, payments, and distribution. ## From Vibe Coding to the AI Software Factory DevFeed: [From Vibe Coding to the AI Software Factory]() Original publisher: [Read original article]() Author: SeattleDataGuy Published: 2026-08-26T22:10:01Z Content type: opinion Language: en Sources: [SeattleDataGuy's Newsletter]() Topics: [Artificial Intelligence](), [Large Language Model](), [Vibe coding](), [coding](), [Low-Code / Internal Tools]() Tags: [ai](), [developers](), [engineering](), [llms](), [vibe-coding]() ### AI overview The article examines how engineering teams progress from using LLMs for code completion and isolated experiments toward standardized, repeatable systems for producing software with AI. It describes this progression as a spectrum of software-factory practices and argues that many companies remain at the stage of disconnected individual workbenches and one-off macros. ### Source excerpt How I've Seen Engineering Teams Use LLMs Over The Past Few Years ## How Auth0 Plans Support Apps From Vibe Coding to Enterprise SSO DevFeed: [How Auth0 Plans Support Apps From Vibe Coding to Enterprise SSO]() Original publisher: [Read original article]() Author: Ruhma Khawaja Published: 2026-08-25T00:00:00Z Content type: article Language: en Sources: [Auth0 Blog]() Topics: [Auth0](), [Authentication](), [Single sign-on (SSO)](), [app builder](), [Vibe coding](), [soc 2 compliance](), [Multitenancy]() Tags: [app-builder](), [auth0](), [authentication](), [compliance](), [soc-2-compliance](), [sso](), [vibe-coding]() ### AI overview The article describes how Auth0 positions its pricing and authentication plans for different stages of app development, from AI-assisted solo builders and startups to scaling companies and enterprises. It highlights free authentication, SSO, SCIM, organizations, and security compliance features. ### Source excerpt Learn how Auth0 pricing plans scale with your app -- from free auth for AI vibe coders to B2B Enterprise SSO for scaling startups and enterprise platforms. ## When code is abundant DevFeed: [When code is abundant]() Original publisher: [Read original article]() Author: Bill Staples Published: 2026-08-24T00:00:00Z Content type: opinion Language: en Sources: [GitLab]() Topics: [AI Development](), [Vibe coding](), [Software Engineering](), [GitLab](), [sdlc](), [anthropic](), [Concurrency](), [Graphs]() Tags: [ai](), [ai-agents](), [architecture](), [code](), [concurrency](), [devsecops-platform](), [enterprise](), [news](), [policy](), [software-development](), [workflow]() ### AI overview This opinion argues that AI agents and large language models are making code production cheaper and faster, shifting the main challenge for enterprise software development toward context, verification, governance, identity, policy, approval, and audit. It discusses how the software development lifecycle and its underlying architecture must adapt to machine-scale concurrency and automated workflows. ### Source excerpt I returned from the holiday break in January convinced that something fundamental had changed. Large language models had reached the point where they could produce useful code reliably enough, and cheaply enough, to change the economics of software development. Engineers everywhere seemed to be experimenting with the same thing: not just asking an AI assistant for suggestions, but giving agents real work and seeing how far they could take it. I started thinking about what happens if that continues. What changes when producing code is no longer the primary constraint in building software? I wrote those thoughts down in a board memo in January. In May, I published part of that thesis in GitLab's Act 2: the cost and time of producing software was collapsing, machines would increasingly build software under human direction, and the architecture underneath software development would have to change with it. In June, at GitLab Transcend, we showed the first pieces of that architecture: source control rebuilt for machine-scale concurrency, GitLab Orbit as a context graph spanning the software lifecycle, and governance around agent identity, policy, approval and audit. Then, on August 21, Anthropic published The AI-Native SDLC Playbook. It opens with a simple statement: "Code is no longer the bottleneck." I agree. Anthropic's playbook is a practical description of how the development lifecycle changes when agents can move implementation dramatically faster: planning becomes machine-readable, handoffs become automated, verification moves into the loop, and human judgment concentrates at the gates. What interests me is what happens one level beyond the workflow. If code is no longer the primary constraint, what becomes scarce? What architecture does an enterprise need when people, agents and multiple models are all acting across the software lifecycle at machine speed? And where does durable value move when generating the code itself becomes increasingly abundant? Over the pas ## One company paid $14000 to a simple bidding app DevFeed: [One company paid $14000 to a simple bidding app]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-08-23T05:56:11Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [Vibe coding]() Tags: [backend](), [bidding](), [bidding-trending-story-indie-hacker-frontend-buildsaas](), [blockchain](), [buildsaas](), [coding](), [development](), [frontend](), [ihatereading](), [indie-hacker](), [javascript](), [node-js](), [one-company-paid-14000-to-a-simple-bidding-app](), [product](), [programming](), [react](), [story](), [trending-story](), [typescript](), [vibe-coding](), [web-development]() ### AI overview A story about an overnight success attributed to vibe coding, centered on one company paying $14,000 for a simple bidding app. ### Source excerpt The story of overnight success via vibe coding by Jonathan Wilke ## How to move fast toward the right thing DevFeed: [How to move fast toward the right thing]() Original publisher: [Read original article]() Author: Jake Albaugh Published: 2026-08-13T20:30:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Artificial Intelligence](), [Tech Debt](), [Large Language Model](), [Vibe coding](), [agentic-coding](), [sdlc]() Tags: [agentic-coding](), [ai](), [developers](), [llms](), [sdlc](), [tech-debt](), [vibe-coding]() ### AI overview AI makes software building faster and more accessible, but can also produce tech debt and encourage uncritical acceptance of polished outputs. The article argues that teams should begin with clear intent, carefully decide what is worth building, and use AI to translate that intent into software while retaining human judgment. ### Source excerpt With AI, speed comes easy, but so does tech debt. That's why the best teams don't just ship something fast; they consider it carefully, build it efficiently, and make it stand out. ## AI-assisted programming and the changing purpose of programming DevFeed: [AI-assisted programming and the changing purpose of programming]() Original publisher: [Read original article]() Author: Daniel Lemire Published: 2026-08-12T15:50:48Z Content type: opinion Language: en Sources: [Daniel Lemire]() Topics: [Artificial Intelligence](), [Programming](), [Vibe coding]() Tags: [2026](), [ai](), [programming](), [video]() ### AI overview A short video discusses tensions created by rapidly evolving AI-assisted programming, including whether programmers still need to understand code and what their purpose becomes. ### Source excerpt AI-assisted programming is fast evolving and there is a tension between 'we no longer need to understand the code' and 'what is my purpose as a programmer'. I recorded a short video on this topic with how I think the tension can result in conflicts. ## Port AI Builder: Vibe Coding for Platform Engineering DevFeed: [Port AI Builder: Vibe Coding for Platform Engineering]() Original publisher: [Read original article]() Author: Etay Alony Published: 2026-07-30T11:26:02Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Platform Engineering](), [Vibe coding](), [coding](), [Artificial Intelligence](), [DevOps](), [sdlc](), [ide]() Tags: [agent](), [agentic](), [ai](), [coding](), [development](), [devops](), [engineering](), [governance](), [platform](), [platform-engineering](), [sdlc](), [vibe-coding](), [workflows]() ### AI overview Port AI Builder is presented as a natural-language, vibe-coding experience for platform engineering. It helps teams create and operate production-grade agentic workflows and platform enhancements, with organizational context, governance, visibility, and human approval built into the process. ### Source excerpt Port AI Builder turns natural language into production-grade platform resources, with your approval and governance at every step. ## Vibe Coding Interviews for PMs: Complete Guide DevFeed: [Vibe Coding Interviews for PMs: Complete Guide]() Original publisher: [Read original article]() Author: Aakash Gupta Published: 2026-07-29T23:19:16Z Content type: tutorial Language: en Sources: [Product Growth]() Topics: [Vibe coding]() Tags: [guide](), [vibe-coding]() ### AI overview A guide for PMs on mastering vibe coding interviews. ### Source excerpt There's a new interview type in town. Here's how to master it ## 10 Platform engineering predictions for 2026 DevFeed: [10 Platform engineering predictions for 2026]() Original publisher: [Read original article]() Author: Luca Galante Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [Artificial Intelligence](), [Security](), [Architecture & Design](), [Vibe coding](), [Kubernetes](), [Terraform]() Tags: [2026](), [agentic](), [agentic-ai](), [ai](), [ai-agents](), [architecture](), [code](), [code-generation](), [coding](), [finops](), [iam](), [infrastructure](), [kubernetes](), [models](), [platform](), [platform-engineering](), [predictions](), [security](), [terraform](), [vulnerabilities]() ### AI overview The article presents ten predictions for platform engineering in 2026, focusing on the convergence of AI, security-by-design, developer experience, observability, and FinOps. It argues that platform teams will increasingly govern autonomous AI agents, secure AI-generated infrastructure code, and use AI-driven optimization to re-architect systems for cost and latency targets. ### Source excerpt Explore the 10 platform engineering predictions for 2026. See how AI, FinOps, and new security models will fundamentally redefine the platform team's role and architecture. ## Fragments: July 21 DevFeed: [Fragments: July 21]() Original publisher: [Read original article]() Author: Martin Fowler (martin@martinfowler.com) Published: 2026-07-21T13:13:00Z Content type: article Language: en Sources: [Martin Fowler]() Topics: [Vibe coding](), [Security](), [Large Language Model](), [Artificial Intelligence](), [Machine learning](), [Code generation](), [Software Engineering]() Tags: [ai](), [code-generation](), [data-quality](), [llms](), [modernization](), [security](), [testing](), [vibe-coding]() ### AI overview The article discusses findings from a software development retreat, emphasizing that verification has become more important as code generation improves. It examines risks from LLMs and vibe coding, including security concerns, poor contextual fit, weak testing, and inadequate data-quality controls. It argues for feedback sensors, organizational safeguards, and stronger engagement between engineers and executives. ### Source excerpt With this post, I'll wrap up my notes from the second Future of Software Development Retreat. But before I do, I should note that the full Thoughtworks report on the retreat is now available. They have five headline findings: Code generation is no longer the bottleneck -- verification is. 'Harness engineering' is emerging as a distinct, ownable discipline. Organizations are colliding with a real apprenticeship crisis. The executive/engineer expectation gap is a bigger risk than any technical limitation. Legacy modernization is the clearest, most defensible near-term value pool. ❄ ❄ A session convened around the mismatch of views about using LLMs between engineers using it and the C-suite and boards that were calling for it. The concern is that boards are looking at promised productivity gains, and not concerned enough about the risks, particularly about security. This was illustrated by one tale of a company that used ML-trained software to optimize the replacement of air filters on their field equipment. They were pleased to see that they were able to change the air filters less frequently, saving them $50 million. But the problem was the ML models were trained on equipment used in the desert, while their equipment was used in the arctic. Air filters in the desert deal with dust, but in the arctic the thing to remove is mosquitoes. There's an important difference here, mosquitoes rot, and enough decaying mosquitoes is a serious fire risk. Fires from such dead mosquitoes around infrequently replaced air filters cost the company $100 billion. Now such a tale could told of many situations without AI in the mix. Plenty of human situations have gone wrong when solutions are applied in a new context (which is why context is such a key word among pattern-writers). But the tale does remind us to be wary of an AI's suggestions, and to always think of how to build sensors to provide rapid feedback. Engineers particularly worry about the risks when citizen developers start vib ## How novice coders can develop AI programs for military applications DevFeed: [How novice coders can develop AI programs for military applications]() Original publisher: [Read original article]() Author: Haley Wahl | MIT Lincoln Laboratory Published: 2026-07-07T17:25:00Z Content type: article Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [Vibe coding](), [AI Development](), [AI Chat](), [Language models](), [Software Engineering](), [Development]() Tags: [ai](), [ai-and-military](), [ai-assisted-target-recognition](), [ai-chatbots](), [ai-programming](), [ai-writing-software](), [artificial-intelligence](), [autonomous-striking](), [battlefield-communications](), [chatbots](), [chatgpt](), [claude](), [coding](), [computer-science-and-technology](), [daf-mit-ai-accelerator-phantom-program](), [gemini-llm](), [google-ai-studio-app](), [language-models](), [laura-niss](), [lincoln-laboratory](), [military-ai](), [mit-lincoln-laboratory](), [novice-coders](), [programming](), [remote-operating-modular-augmentation-device-romad-ai](), [research](), [security-and-military-studies](), [software](), [software-development](), [u-s-armed-forces](), [vibe-coding](), [vision-language-models-vlms]() ### AI overview A U.S. Air Force cadet with no coding experience used generative AI chatbots and a process called vibe-coding to develop a military application. The project examined whether nontechnical service members could create useful software for military problems. ### Source excerpt A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems. ## Career Advice for Engineers in the Age of AI Agents DevFeed: [Career Advice for Engineers in the Age of AI Agents]() Original publisher: [Read original article]() Author: Addy Osmani Published: 2026-07-06T00:00:00Z Content type: opinion Language: en Sources: [Addy Osmani]() Topics: [Artificial Intelligence](), [agentic-coding](), [Vibe coding](), [coding](), [LeetCode]() Tags: [agentic-coding](), [ai](), [career](), [coding](), [job](), [vibe-coding]() ### AI overview This commentary argues that AI will make answer-based problem solving and routine software shipping cheaper, while durable career advantages will come from choosing worthwhile problems, building systems, understanding people, judging quality, and developing a strong reputation and relationships. ### Source excerpt AI gets good at anything with an answer key. Your career is everything that doesn't have one. ## An Opinion on LLMs, Vibe Coding, and Agentic Coding DevFeed: [An Opinion on LLMs, Vibe Coding, and Agentic Coding]() Original publisher: [Read original article]() Author: Josh Sherman Published: 2026-06-28T00:00:00Z Content type: opinion Language: en Sources: [Josh Sherman]() Topics: [Large Language Model](), [Vibe coding](), [agentic-coding](), [Artificial Intelligence](), [Code](), [trust]() Tags: [agentic-coding](), [ai](), [coding](), [llms](), [trust](), [vibe-coding]() ### AI overview The author argues that slow websites predate vibe coding and criticizes broad claims that LLM-generated software is inherently poor. They support experimenting with LLMs and agentic coding while maintaining code and product quality, acknowledging that the tools still need guardrails and can require cleanup. ### Source excerpt LLMs are great at pattern detection. Use them long enough, and you get good at it too. Smoking guns, being absolutely right, it's not X but Y. They tend to be cute at first, but then these AI-isms become bad jokes after only a few conversations. Now that I can practically recite all of the dumb shit robots say, I'm starting to see it more and more from humans. That's not to say I see humans using AI-isms, I'm starting to see new patterns emerge. Maybe they've been there the whole time and I'm only now starting to notice. The one I particularly dislike is taking two disparate things, and attempting to use them as inference towards your biased opinion on things. My favorite one thus far cites that every company that has embraced vibe coding now has a 30 second page load or is completely unusable. This was the math behind an eye roll "programming is dead" quip. I guess if you just got here, this makes sense to you. Fun fact, there's always been slow websites. Like, forever. I've been both the contributing factor to slow websites as well as the savior that fixed them for nearly three decades. Most of which didn't include vibe coding. Fine, the robots still go off the rails, and need a lot of guard rails. But to jump to the conclusion that if something is slopped together by an LLM it's complete shit is... it's fucking dumb short sighted at BEST. We're all biased in one way or another. Clearly I'm in the camp that these new technologies are good, and are going to elevate us all. I also find that those sort of opinions are clearly made by people that aren't working with the tools. If they are, they are trying to find the holes to poke, rather than figuring out how we can work past them. I've been operating more and more in an end state with agentic coding. Where can I produce results? How can I remove myself from the things I find to be a waste of time? How do I balance it all while maintaining code and product quality. There are people moving faster than me. They trust t ## Beyond Vibe Coding: A Designer's Case for Directed Generation DevFeed: [Beyond Vibe Coding: A Designer's Case for Directed Generation]() Original publisher: [Read original article]() Author: Jim Gulsen Published: 2026-06-25T03:08:30Z Content type: opinion Language: en Sources: [UX Magazine]() Topics: [Vibe coding](), [Artificial Intelligence](), [User experience (UX)](), [engineering-culture](), [coding]() Tags: [2025](), [ai](), [design](), [engineering-culture](), [generation](), [model](), [prompt](), [ux](), [vibe-coding]() ### AI overview This opinion argues that "vibe coding" describes passive, low-accountability use of generated output, but does not accurately describe intentional AI-assisted design. It proposes directed generation, in which the designer's judgment, authority, and understanding guide the AI-assisted process. ### Source excerpt The name got there first "Vibe coding" is a useful description of a specific, low-accountability behavior. You describe something loosely, accept what the model generates, and don't concern yourself too much with understanding the output. Andrej Karpathy named it accurately in early 2025 -- for the thing he was actually describing. The problem is what The post Beyond Vibe Coding: A Designer's Case for Directed Generation appeared first on UX Magazine. ## Worth Reading: AI Enthusiasts Against AI Skeptics DevFeed: [Worth Reading: AI Enthusiasts Against AI Skeptics]() Original publisher: [Read original article]() Published: 2026-06-22T06:25:00Z Content type: opinion Language: en Sources: [ipSpace.net blog]() Topics: [Artificial Intelligence](), [Vibe coding](), [Software-defined networking](), [Ansible]() Tags: [ai](), [ansible](), [article](), [sdn](), [vibe-coding](), [worth-reading]() ### AI overview A recommendation of Charity Majors's article contrasting AI enthusiasts, who are racing against time, with AI skeptics, who are racing against entropy. It also cautions against exaggerated claims about vibe coding and other technologies such as OpenFlow, SDN, OpenDaylight, and Ansible. ### Source excerpt Charity Majors wrote an excellent article describing AI enthusiasts in a race against time and AI skeptics in a race against entropy. Fair warning: its very first sentence triggered an acute case of PTSD: I recently attended a talk where one of the presenters made some pretty...astonishing claims about what they had achieved by the pure, uncut power of vibe coding. I've seen way too many presentations making "astonishing claims" about the unlimited unicorn-driven powers of OpenFlow, SDN, OpenDaylight, or Ansible. Read more ... ## How AI and Vibe Coding Are Changing the Software Development Lifecycle DevFeed: [How AI and Vibe Coding Are Changing the Software Development Lifecycle]() Original publisher: [Read original article]() Author: Addy Osmani Published: 2026-06-16T00:00:00Z Content type: article Language: en Sources: [Addy Osmani]() Topics: [sdlc](), [Vibe coding](), [Artificial Intelligence](), [Code]() Tags: [agent](), [ai](), [engineering](), [google](), [sdlc](), [vibe-coding]() ### AI overview This developer article highlights ideas from a Google whitepaper about AI's impact on the software development lifecycle. It argues that an agent consists of a model plus a larger harness of instructions, tools, sandboxes, orchestration, hooks, and observability, and that many agent failures are configuration failures rather than model failures. It also introduces context engineering as an important part of the system. ### Source excerpt I co-wrote a Google whitepaper about how AI is changing the software lifecycle. I'm not going to summarize the whole thing. Instead, here are the handful of ideas in it I think actually matter, plus six figures you're welcome to reuse. ## How 1Password interns are building with AI DevFeed: [How 1Password interns are building with AI]() Original publisher: [Read original article]() Author: info@1password.com (1Password) Published: 2026-06-05T00:00:00Z Content type: article Language: en Sources: [Blog on 1Password Blog]() Topics: [Artificial Intelligence](), [Vibe coding](), [For the Love of Code](), [Code](), [coding]() Tags: [ai](), [building](), [career](), [code](), [coding](), [developer](), [errors](), [hackathon](), [learning](), [life-at-1password](), [prototypes](), [vibe-coding]() ### AI overview 1Password interns describe using AI to learn unfamiliar concepts, explain errors, refine writing, organize thoughts through rubber ducking, and rapidly create prototypes during a low-stakes hackathon. Their experiences also highlight the need to review AI-generated work for errors. ### Source excerpt At 1Password, we're empowering our people to explore how AI can help them learn faster, solve problems more creatively, and make meaningful contributions at every stage of their career. For our interns, that culture shows up in practical, everyday ways. AI can help make a large codebase feel more approachable, turn a confusing error message into a learning moment, or create space to think through an idea before writing the first line of code. Just as importantly, it helps them build confidence, ask better questions, and do their best thinking. We spoke with two interns, Eileen Zhao and Kashish Garg, about what they've experimented with and what impact looks like as they use AI in their work at 1Password. Meet Eileen, Developer Intern Hi, I'm Eileen! I've been interning at 1Password for the past year across three teams: I started in Product Operations, moved to Knox (our design systems team), and I'm now on the Insights team. Outside of work, I love doing crosswords, lifting weights, reading, and playing video games. For a fun fact: I've been journaling every single day for the past 7.5 years! How have you used AI during your year at 1Password? I've had a lot of opportunities to experiment with AI in different contexts. In Product Operations, I used it to edit my writing and make sure my communications were concise and meaningful when working with different stakeholders. As a developer, I lean on AI most when I'm picking up new concepts, which happens a lot when you move between teams. It's great at explaining things and pointing me toward resources to dig deeper. I also use it for "rubber ducking" - talking through my thought process step-by-step before I start coding, which helps me organize my thinking before I write a single line. Can you give us an example where AI helped you think through your ideas? During my time on the Knox team, we had an internal hackathon where I got to fully lean into "vibe coding" for the first time. It was a low-stakes environment to j ## Security risks and safeguards for vibe-coded applications DevFeed: [Security risks and safeguards for vibe-coded applications]() Original publisher: [Read original article]() Author: Martin Fowler (martin@martinfowler.com) Published: 2026-05-27T14:03:00Z Content type: opinion Language: en Sources: [Martin Fowler]() Topics: [Vibe coding](), [Security](), [AI Development](), [Artificial Intelligence](), [Code](), [Claude](), [Repl.it]() Tags: [ai](), [claude](), [coding](), [permission](), [permissions](), [replit](), [secure-by-default](), [security](), [software](), [vibe-coding]() ### AI overview The article examines security problems encountered while scaling a vibe-coded application built with Gemini, Replit AI, and Claude AI. It describes risks including public storage access and excessive token permissions, and recommends security context files, cautious permission handling, security intelligence feeds, and secure-by-default harnesses and templates. ### Source excerpt Vibe coding has significantly accelerated software prototyping but AI agents frequently recommend insecure configurations, creating security problems. Gautam Koul, Lucian Moss, Neil Drew-Lopez, and Daberechi Ruth Edeokoh share their experience while building applications for Thoughtworks's global marketing. They learned that to combat this we need to write a security context file to guide the AI, be cautious with AI permission requests, create a daily security intelligence feed, and provide builders with a secure-by-default harness and templates. more... ## Vibe Coding with SoundCloud: Announcing New Docs for your Agents DevFeed: [Vibe Coding with SoundCloud: Announcing New Docs for your Agents]() Original publisher: [Read original article]() Published: 2026-05-18T00:00:00Z Content type: article Language: en Sources: [SoundCloud Backstage Blog]() Topics: [Vibe coding](), [ai-coding](), [API](), [API keys](), [Large Language Model](), [AI Agent](), [App](), [Programming]() Tags: [ai](), [ai-agent](), [ai-coding](), [announcements](), [api](), [app](), [code](), [developer](), [developer-resources](), [docs](), [llm](), [vibe-coding]() ### AI overview SoundCloud announces updated documentation for vibe coding and AI-assisted development, including self-service generation of Client IDs and Client Secrets for eligible Artist-Pro subscribers. New resources include a hub for building with AI on SoundCloud and an LLM Context Page intended to give coding assistants structured, accurate platform knowledge. ### Source excerpt Have you ever had a brilliant idea for a music app, a custom playlist curator, or a unique way to discover underground tracks on SoundCloud... ## Seasons time-lapse - the foundations DevFeed: [Seasons time-lapse - the foundations]() Original publisher: [Read original article]() Author: Nicolas Fränkel Published: 2026-05-17T00:00:00Z Content type: article Language: en Sources: [Nicolas Fränkel]() Topics: [Python](), [OpenCV](), [Vibe coding](), [Inference]() Tags: [art](), [development](), [image](), [llm](), [photos](), [python](), [technical](), [time](), [time-lapse](), [video]() ### AI overview This article introduces a multi-part retrospective on building a seasons time-lapse video from photographs taken over several years. It describes using an LLM-assisted workflow, choosing Python, and designing a typed, tested image-processing pipeline that inventories, filters, aligns, and orders photos. ### Source excerpt I live close to nature. I regularly go for a run in the countryside. Over several years, during my runs, I've taken pictures from the same position, always roughly the same angle. I had a vague idea in the back of my mind, as an 'artistic' project. One day, I'd turn those photos into a time-lapse video, one that would show the passage of seasons across a single place. Spoiler, here's the work in progress: However, I knew that this project would take ages. [Next page]()