Kris Hadlock

Roo Code lets you mold your #AI coding agent into what you actually need. Brandon Mathis from This Dot Labs built custom modes for documentation, pair programming, writing specs, and improving his prompts. If you're serious about agent workflows (which you have to be), this is worth a read.

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From chaos to consistency 🧩 In this detailed walkthrough, Olga Tsiamliak (Frontend Lead at Attico) shares how her team built a scalable multibrand design system in Drupal—without going headless. What’s inside: • Design token strategies for brand flexibility • Atomic design + component libraries • Tailwind + Twig + Storybook integration • Lessons from working with enterprise clients like Nestlé Read via The Drop Times: https://lnkd.in/gjg-MZCJ #Drupal #DesignSystems #FrontendDev #WebDev #OpenSource

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Learn how to use Unmanaged Files in Drupal for maximum performance and flexibility! In this comprehensive 6-part series, Jeff G. Greenberg shows you step-by-step how to ditch the database overhead and build custom services for fast, clean file handling. Dive into the full series and see how to get a random, category-aware image trio with zero database queries. 🔗 Find the full series on The Drop Times now! https://lnkd.in/ghh75AMQ

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1.5 million API keys for AI agents were just leaked from Moltbook. The cause? A missing line of code in a Supabase config. It wasn't a sophisticated zero-day. It was a human who forgot to enable Row Level Security (RLS). In the "Ship Fast" era, we tell devs to move like lightning but expect them to have the memory of a database. It doesn't work. Linters are too dumb to understand context, and humans are too tired to catch everything in a 2 AM pull request. I built PR Review Bot because "oops" shouldn't cost you 1.5 million credentials. If this bot had been in that workflow, the review would have looked like this: 🤖 "I see a new table agents containing api_key. I don't see an RLS policy. This will expose your data to the public anon key. Suggestion: ALTER TABLE agents ENABLE ROW LEVEL SECURITY;" It’s not just about code style. It’s about having a "security-obsessed senior dev" who never sleeps, never skims, and actually understands the intent of your code. Should security be a manual checklist, or should the PR block itself if the vibes (and the code) aren't secure? I’d love to hear how your team handles "the missing line of code" problem. 👇 https://lnkd.in/dBQJT39T #AISecurity #Moltbook #Supabase #SoftwareEngineering #BuildInPublic

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Most content today is written deterministically, static articles, tutorials, and documentation published directly to users through a CMS like Contentful or Drupal. But as AI agents become part of user experiences, that model is changing. Content authors will soon need to write not just for users, but for AI systems that personalize content for those users. Read more here and check out my examples of how it could potential work. https://lnkd.in/gHi-j7QN #ai #genai #codingwithai #buildingwithai #productbuilders

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New release from Packt Publishing... "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" See it at https://amzn.to/3MaHy8T 𝕋𝕒𝕓𝕝𝕖 𝕠𝕗 ℂ𝕠𝕟𝕥𝕖𝕟𝕥𝕤: 🔷GenAI in the Enterprise: Landscape, Maturity, and Agent Focus 🔷Agent-Ready LLMs: Selection, Deployment, and Adaptation 🔷The Spectrum of LLM Adaptation for Agents: RAG to Fine-tuning 🔷Agentic AI Architecture: Components and Interactions 🔷Multi-Agent Coordination Patterns 🔷Explainability and Compliance Agentic Patterns 🔷Robustness and Fault Tolerance Patterns 🔷Human-Agent Interaction Patterns 🔷Agent-Level Patterns

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We often get asked: How can we add our own placement or assertion logic to the Archilogic editor? Here’s a preview of what editor plugins will enable you to do: * query the layout and check for custom rules * draw on top of the layout * change or place elements within the layout More details to be shared soon

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Most systems today are designed to make things easier. Few are designed to make people stronger. That’s why I liked reading Agentic Design Patterns by Antonio Gulli It’s a thoughtful take on how to build systems that empower users instead of making them passive or in just in the loop. It asks an important question, which is how can we design tools that give users agency, not just convenience? A few ideas stayed with me: 1) Start with guidance, then reduce constraints as users gain confidence. 2) Automate where it helps, but let users steer. 3) Build for decision-making, not just consumption. As engineering and product leaders, this mindset matters. If we only automate, people stop learning. But when we design with agency in mind, our tools evolve with the people who use them. Big thanks to Antonio for capturing these ideas so clearly. He also shared this book to the public https://lnkd.in/e9APUAfx #data #ai #engineering #product

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🧠 For decades, we relied on relational rows and NoSQL documents. They’re battle-proven, but they weren't built for a world where meaning is more important than exact matches 🚀 In our latest blog, Alvin Richards dives into why vector databases aren't just an "add-on"—they are a fundamental shift in how we build for the AI era ❌ No more rigid schemas ✅ Yes to semantic relationships 🏗️ Built for the future, not your grandparents' era

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When it comes to selecting the right DXP, things can go off the rails. But don’t lose your caboose. Dan Drapeau has a two-track evaluation model that can keep you rolling – full steam ahead. In today's Guest Critic article, Dan proves why he’s a masterful conductor on the digital experience train. As he explains, the DXP competitive landscape has converged across architectural models, and evaluation approaches haven’t evolved at the same pace. Dan’s observation is that single-track processes are still chugging along – focusing on feature breadth and demo cohesion and favoring pre-composed suites. In his experience, what we really need is a more balanced approach that separates platform evaluation from ecosystem architecture. How do you leave the station? By running two structured tracks, which he outlines in detail. This helps vet not only current capabilities but also long-term durability relative to core considerations like vendor lock-in, CDP and DAM strategies, and the ever-evolving target of AI. In his post, Dan details the operational requirements, where the complexities exist, and how to synthesize results. He even digs into the critical topics of validation and stress testing, and distills it all into a handy checklist to help guide your DXP evaluation. As he says, composable and pre-composed DXPs represent architectural strategies along a spectrum, and these pointers can help keep you on track. “A structured two-track evaluation approach ensures that whichever model is selected, it is chosen for structural alignment and long-term outcomes rather than surface cohesion.” If you’re currently evaluating DXPs – or considering it in the future – this is a fantastic read from a sharp practitioner. Check it out on CMS Critic: 🔶 https://lnkd.in/e-XB3Pig #dxp #digitalexperience #digitalexperienceplatform #softwareevaluation #dam #digitalassetmanagement #cdp #customerdata #customerdataplatform #cmp #contentmarketingplatform #ai #artificialintelligence

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Disney Connect uses WordPress to power a partner hub: Aloha design system and custom Gutenberg blocks let editors build without code. Social embeds (TikTok, Instagram, YouTube), taxonomies, and enterprise performance deliver fast, accessible storytelling. https://lnkd.in/gCz-2CW9 #WordPressShowcase

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The November 2025 release of VS Code dropped today. It brings one big idea into focus: coding with agents is becoming a first-class workflow. This update introduces Agent HQ, your new home for coordinating Copilot and every other coding agent you rely on. Background agents now run in isolated worktrees, custom agents can be shared across your entire org, and local sessions keep working even after you close chat. You can move tasks seamlessly between local, background, and cloud agents, attach richer context, and even run custom subagents or reuse Claude skills. It’s a cleaner, more powerful way to build software with AI. And it's right inside the editor you already love. Happy coding. 🔗 https://lnkd.in/gZMRsEBk

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