# Vibe Coding Published articles for Vibe Coding. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Designing Documentation for LLMs and Coding Agents DevFeed: [Designing Documentation for LLMs and Coding Agents]() Original publisher: [Read original article]() Author: CommonsWare Published: 2026-09-11T22:55:25Z Content type: opinion Language: en Sources: [The CommonsBlog]() Topics: [Documentation](), [Large Language Model](), [AI-assisted coding](), [SDKs]() Tags: [ai](), [blog](), [coding-agents](), [documentation](), [llms](), [markdown](), [sdk](), [sdks](), [software-development](), [vibe-coding]() ### AI overview This opinion article argues that SDK and library documentation should be designed for both human developers and AI systems. It recommends text-based formats such as Markdown, smaller topic-focused sections, and strong indexing to make documentation more efficient for LLMs and coding agents, while retaining formats such as PDFs and videos for human consumption. ### Source excerpt Let's continue to explore how we can succeed with libraries and SDKs at a time when coding agents will be consuming what we create, as will ordinary developers ## "Six tools, one harness": Salesforce loops together a six-pack of favorites DevFeed: ["Six tools, one harness": Salesforce loops together a six-pack of favorites]() Original publisher: [Read original article]() Author: Adrian Bridgwater Published: 2026-09-10T20:03:25Z Content type: article Language: en Sources: [The New Stack]() Topics: [Architecture & Design](), [Orchestration](), [data-architecture](), [Vibe coding](), [Claude](), [SDKs]() Tags: [agent](), [ai](), [ai-agents](), [api](), [claude](), [data](), [enterprise](), [integration](), [orchestration](), [salesforce](), [security](), [vibe-coding]() ### AI overview Salesforce introduced an Enterprise AI Harness that combines platform capabilities through a common, composable architecture and an AI control plane. The article describes its use of data, integration, APIs, agent orchestration, analytics, security and compliance to reduce siloed enterprise automation. ### Source excerpt Salesforce introduced its Salesforce Enterprise AI Harness on Thursday as a formalized amalgamation of the AI harness concepts and infrastructure The post "Six tools, one harness": Salesforce loops together a six-pack of favorites appeared first on The New Stack. ## Shopify extends lifeline to Tailwind as vibe coding erodes web dev platform's bottom line DevFeed: [Shopify extends lifeline to Tailwind as vibe coding erodes web dev platform's bottom line]() Original publisher: [Read original article]() Author: Brandon Vigliarolo Published: 2026-09-10T19:43:55Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Web Development](), [modern web development]() Tags: [acquisition](), [acquisitions](), [ai-and-ml](), [css](), [devops](), [foss](), [framework](), [open-source](), [shopify](), [tailwind](), [vibe-coding](), [web](), [web-developers]() ### AI overview Shopify's acquisition gives the open-source CSS framework Tailwind a stable long-term home amid pressure on web development platforms from vibe coding. ### Source excerpt Acquisition gives open source CSS framework 'a stable long-term home' ## Researchers found that 1 in 5 MCP access policies came back broken or missing DevFeed: [Researchers found that 1 in 5 MCP access policies came back broken or missing]() Original publisher: [Read original article]() Author: Shawn Petty Published: 2026-09-10T15:00:00Z Content type: opinion Language: en Sources: [The New Stack]() Topics: [Model Context Protocol](), [Authorization](), [API keys](), [GitHub]() Tags: [ai](), [contributed-cloudbolt](), [github](), [mcp](), [model-context-protocol-mcp](), [oauth](), [security](), [vibe-coding]() ### AI overview The article argues that MCP deployments need stronger authorization and narrower credentials. It highlights prompt-injection risks in tool descriptions, broad default scopes, and limited OAuth use among MCP servers. ### Source excerpt Bob from finance built a scheduling tool last month. He described it to an AI assistant on a Sunday afternoon, The post Researchers found that 1 in 5 MCP access policies came back broken or missing appeared first on The New Stack. ## Apple hawks $2k folding fondleslab DevFeed: [Apple hawks $2k folding fondleslab]() Original publisher: [Read original article]() Author: Brandon Vigliarolo Published: 2026-09-09T20:38:18Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [coding](), [Cybersecurity](), [Machine learning](), [Web Development](), [C2]() Tags: [ai](), [apple](), [coding](), [css](), [cybersecurity](), [hardware](), [iphone](), [personal-tech](), [security](), [vibe-coding]() ### AI overview An English-language technology news roundup led by Apple's $2,000 folding device and accompanied by brief items on privacy, AI, cybersecurity, semiconductor infrastructure, open-source software, web development, and operating systems. ### Source excerpt Another new form factor for devs to adapt to ## 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. ## 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 ## Artificial Intelligence: Glossary DevFeed: [Artificial Intelligence: Glossary]() Original publisher: [Read original article]() Author: Caleb Sponheim Published: 2026-08-21T17:00:00Z Content type: article Language: en Sources: [NN/g latest articles and announcements]() Topics: [Artificial Intelligence](), [AI Agent](), [AI Development](), [Algorithms](), [Prompt Engineering]() Tags: [agentic-ai](), [agents](), [ai-agent](), [ai-definitions](), [ai-evals](), [ai-glossary](), [ai-glossary-for-ux](), [ai-hallucination](), [ai-terminology](), [ai-terminology-for-product-teams](), [ai-terms](), [ai-terms-for-designers](), [ai-vocabulary](), [article](), [artificial-intelligence](), [artificial-intelligence-glossary](), [context-window](), [genai-glossary](), [generative-ai](), [generative-ui](), [glossary](), [knowledge-cutoff](), [large-language-model](), [machine-learning](), [model-context-protocol](), [prompt-engineering](), [prompt-injection](), [rag](), [tokens](), [ux](), [vibe-coding]() ### AI overview A plain-language glossary of artificial-intelligence terminology used in products and UX work. It explains concepts including agents, agentic systems, AI development, algorithms, AI-generated content, and AI-related claims, while noting that terminology can vary among vendors and researchers. ### Source excerpt Plain-language definitions of the AI terms that come up in product and design work, from tokens and context windows to agents, evals, and prompt injection. ## Dispatches from O'Reilly: The right amount of spec for agentic development DevFeed: [Dispatches from O'Reilly: The right amount of spec for agentic development]() Original publisher: [Read original article]() Author: Markus Eisele Published: 2026-08-21T14:00:00Z Content type: opinion Language: en Sources: [Stack Overflow Blog]() Topics: [AI Bots]() Tags: [agentic](), [agents](), [ai](), [buiilding-software](), [coding](), [cost](), [development](), [oreilly](), [review](), [se-stackoverflow](), [se-tech](), [software-engineering](), [vibe-coding]() ### AI overview The article argues that agentic development needs a middle ground between vague prompts and costly formal specifications. Executable checks, examples, and constraints reduce correction loops and make correctness less dependent on human review. ### Source excerpt When code gets cheap, the hard part is deciding what "correct" means and building a reliable way to check it. ## Remote Control for Google Antigravity: Drive Your AI Coding Agent From Telegram DevFeed: [Remote Control for Google Antigravity: Drive Your AI Coding Agent From Telegram ]() Original publisher: [Read original article]() Author: Nicola Guglielmi Published: 2026-08-21T12:12:57Z Content type: tutorial Language: en Sources: [Google Developer Experts - Medium]() Topics: [google-antigravity](), [MCP Server](), [cursor](), [Claude Code](), [Terminal](), [Code]() Tags: [agent](), [ai](), [ai-agent](), [ai-coding](), [antigravity](), [coding](), [google-antigravity](), [mcp](), [mcp-server](), [telegram-bot](), [terminal](), [vibe-coding]() ### AI overview This tutorial introduces Telegravity, a single-binary MCP server that connects Telegram with AI coding agents such as Google Antigravity, Claude Code, and Cursor. It describes remote instructions, live status, conversation history, workspace selection, and an active mode for reacting to Telegram messages. ### Source excerpt Your agent runs for 20 minutes. You walk away from the laptop. What if your phone became your mission control? We are living a strange new moment in the software industry. We kick off an AI coding agent: Antigravity, Claude Code, Cursor, give it a task, and then... we sit there. Watching a terminal. Babysitting a process that might run for two minutes or for two hours. That always felt wrong to me. The whole promise of an autonomous agent is that it works while you live your life. But the moment you stand up to grab a coffee, you go blind: you can't see what it's doing, you can't nudge it, you can't say "wait, not that file" until you're back at the keyboard. So I built the missing piece I needed. I call the project Telegravity, the uplink between Telegram and my AI coding agent. In this article I want to show how it turns Antigravity into something you can drive remotely, from the same chat app you already check fifty times a day. Let's launch. 🚀 https://github.com/nicolaguglielmi/Telegravity The idea explained in one sentence Telegravity is a single-binary MCP server that exposes a tiny set of tools to your agent, pull instructions, post live status, stream conversation history, while the Telegram side gives you a polished dashboard, a conversation hub, and an Active Mode that wakes the agent the instant you type. That's it. One process. No cloud service in the middle, no extra account, no telemetry. Your bot token never leaves your machine. End to end, the whole conversation stays private. The magic is that it speaks the Model Context Protocol (MCP), so it doesn't care which agent you use. Antigravity is a first-class citizen, but the exact same setup works for Claude Code, Cursor, Cline, or anything else that speaks MCP. What you actually get Before the setup, here's the payoff, so you know what we're building toward: A live dashboard with an agent heartbeat: 💭 Thinking - ⚡ Executing - ✅ Done an unread inbox counter, the current workspace, and a chat-mode badge. A ## 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. ## CTO.new Coordinates Tens of Thousands of AI Agents with a Database per Project on Turso DevFeed: [CTO.new Coordinates Tens of Thousands of AI Agents with a Database per Project on Turso]() Original publisher: [Read original article]() Author: Glauber Costa Published: 2026-08-06T00:00:00Z Content type: article Language: en Sources: [Turso Blog]() Topics: [AI Bots](), [AI-assisted coding](), [AI, ML & Data Engineering]() Tags: [ai-agents](), [autonomous-agents](), [coding](), [database](), [infrastructure](), [scalability](), [security](), [software-architecture](), [turso](), [vibe-coding]() ### AI overview CTO.new uses a dedicated Turso database for each AI-agent project to coordinate workloads at scale. The article describes lower database costs compared with its earlier Supabase setup and the platform's return to Turso for agent infrastructure management. ### Source excerpt CTO.new gives every team of AI agents its own Turso database as a coordination layer, running tens of thousands of databases on a $500 per month plan. ## One-shotting a Raccoon Heist game using Claude Fable 5 DevFeed: [One-shotting a Raccoon Heist game using Claude Fable 5]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-08-05T19:42:38Z Content type: tutorial Language: en Sources: [Simon Willison]() Topics: [Claude](), [Claude Code](), [GitHub Pages](), [GitHub](), [Code]() Tags: [ai](), [ai-2-235](), [anthropic](), [anthropic-336](), [browser](), [claude](), [claude-310](), [claude-code](), [claude-mythos-fable](), [claude-mythos-fable-41](), [code](), [coding-agents](), [coding-agents-248](), [fable](), [game-design](), [game-design-22](), [generative-ai](), [generative-ai-1-981](), [github](), [github-pages](), [iphone](), [llms](), [llms-1-947](), [prompt-engineering](), [prompt-engineering-197](), [text-to-image](), [text-to-image-47](), [vibe-coding](), [vibe-coding-97]() ### AI overview The article describes an experiment in which Claude Fable 5, running through Claude Code for web, built a Raccoon Heist game from an older GPT-3 game concept and screenshots. It also explains using GitHub Pages to preview work from Claude Code for web and notes that published content from a private repository may be viewable by anyone who guesses the repository name. ### Source excerpt Back in 2022 I tweeted screenshots of a game concept generated by GPT-3 and some concept "art" created using DALL-E. Today, on the fourth anniversary of that tweet, I decided to see if Claude Fable 5 (running in Claude Code for web) could build the entire game from the content of that tweet. It did a pretty good job of it! You can play the game here. Here's the GitHub repo, and a short video demo: Your browser does not support HTML5 video. How I built this This is the August 5th, 2022 tweet: My GPT-3 prompt back then was: Write a detailed product description of a computer game where a team of raccoons go on heists. This was in the text completion days, where you asked GPT-3 to complete the rest of the text. It completed: In "Raccoon Heist", you and your team of thieving raccoons are tasked with pulling off a series of daring heists. From robbing banks to stealing priceless art, no job is too big or too small for your furry crew. You'll need to use your wits and your skills to avoid the police and make a clean getaway with the loot. With exciting gameplay and a charming cast of characters, "Raccoon Heist" is the perfect game for anyone looking for a light-hearted caper. My prompt to DALL-E was short: Screenshot from a video game where a team of raccoons go on a heist Today's experiment: can I dump those screenshots into Fable 5 with a prompt telling it to write a game, then leave it to its own devices and get a working game at the end? Setting Claude Code for web up to use GitHub Pages A frustrating thing about Claude Code for web is that it can be hard to test what it's working on while it's still working. I've been using GitHub Pages to work around that limitation, and found it to work really well. Here's my process: Create a new repository for the project at https://github.com/new - this can be public or private, the trick works equally well for both. Start a Claude Code for web session, in the Claude iPhone or Desktop apps or in the browser at https://claude.ai/c ## 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 ## Stadium Summer: The Snyk Connect Fan Zone Tour DevFeed: [Stadium Summer: The Snyk Connect Fan Zone Tour]() Original publisher: [Read original article]() Author: Samantha Lioanag; Alysa Turner Published: 2026-07-29T04:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Responsibility & Safety](), [AI-assisted coding]() Tags: [ai](), [ai-security](), [blog](), [community](), [developer](), [engineering](), [event](), [interest](), [security](), [skills](), [vibe-coding](), [workshops]() ### AI overview Snyk's Fan Zone tour combined AI security workshops, networking, and hands-on challenges across eight cities and three virtual sessions. Activities included chatbot hacks, vibe-coding contests, and a browser-focused DAST threat-modeling exercise. ### Source excerpt Snyk's Fan Zone tour brought AI security workshops, networking, and friendly competition to 8 cities and 3 virtual sessions. Attendees built skills, shared ideas, and leveled up together. ## 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 ## The future of development is full-stack DevFeed: [The future of development is full-stack]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-07-21T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [coding](), [Artificial Intelligence](), [Vibe coding](), [Developer experience](), [Code](), [Large Language Model]() Tags: [agentic](), [agentic-ai](), [ai](), [ai-governance](), [code](), [coding](), [developer](), [developer-experience](), [development](), [engineering](), [llm](), [podcast](), [se-stackoverflow](), [se-tech](), [vibe-coding]() ### AI overview An episode recorded at Snowflake Summit examines the shift from vibe coding for quick prototypes to agentic engineering for enterprise-ready software. It discusses scaling governance through human-in-the-loop approval and control layers beyond the underlying large language model, and predicts that developers will increasingly become full-stack builders. ### Source excerpt Live from Snowflake Summit, Ryan talks with Snowflake's Head of Developer Experience Umesh Unnikrishnan about the industry-wide shift from "vibe coding" for quick prototypes to agentic engineering for enterprise-ready software, how enterprises can scale governance with guardrails like human-in-the-loop approval and control layers that go beyond the underlying LLM, and why Umesh predicts all developers will become someday become full-stack builders. ## Deploy agents you can trust with centralized AI governance DevFeed: [Deploy agents you can trust with centralized AI governance]() Original publisher: [Read original article]() Author: Kristin Crosier Published: 2026-07-21T00:00:00Z Content type: article Language: en Sources: [Redpanda]() Topics: [ai-governance](), [Responsibility & Safety](), [audit trail](), [SIEM, Security, Observability](), [Model Context Protocol](), [observability]() Tags: [agentic](), [ai](), [ai-governance](), [audit-trail](), [autonomous](), [autonomous-agents](), [enterprise](), [hosting](), [infrastructure](), [mcp](), [observability](), [thought-leadership](), [vibe-coding]() ### AI overview This article explains why enterprises struggle to deploy autonomous agentic systems: organizations lack confidence in agents that can access data and tools without unique identities, audit trails, or kill switches. It argues for a centralized AI governance layer enforced by infrastructure that agents cannot access or modify, positioned between agents and the data, tools, identities, and models they use. The proposed governance platform also supports scaling through AI gateways, MCP hosting, observability, and budgeting. ### Source excerpt Discover why organizations are struggling to deploy and scale agentic systems, and how a centralized AI governance platform can help you trust and scale agents. ## 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. [Next page]()