2+ min ago (1828+ words) Romans 6 isn't simply a chapter in Paul's letter to the Romans. It's a spiritual earthquake. It shakes the ground beneath every believer who has forgotten what grace actually does inside the human heart. It confronts every Christian who knows Jesus died for them, but still walks around like they're chained to the person they used to be. This chapter is the dividing line between who you were and who you are becoming. It is the chapter where Paul grabs you by the shoulders and says: "Stop living like the old you is still alive." Romans 6 disrupts the excuses. It challenges the old patterns. It demolishes the lie that grace is a free pass to stay stuck. It is the bold declaration that salvation is not the end of the story. It's the beginning of a new one. This is the…...

19+ min ago (303+ words) Building an autonomous agent in LangChain is magical. You give it a tool like transfer_money, and it just works. But that magic is also a security nightmare. If your LLM hallucinates or gets prompt-injected, it can call that tool instantly. The API receiving the request has no idea if it was a valid user intent or a rogue agent. The request is just anonymous JSON. We need Attribution. We need the agent to SIGN its work. Prefer a visual explanation? I broke this architecture down into a 6-slide carousel on LinkedIn. It covers the "Why" and "How" in under a minute. I built the Agent Identity Protocol (AIP) to solve this. It is an open-source tool that gives your agent a local crypto wallet. Instead of just executing a tool blindly, we force the agent to: Generate a signature for the…...

20+ min ago (61+ words) [adamthedeveloper] You're Not Building Netflix: Stop Coding Like You Are Adam - The Developer " Nov 23 #webdev #programming #architecture #typescript Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well...

21+ min ago (161+ words) What is Generative AI? The Concerns behind Cameron's Statement Furthermore, generative AI also raises concerns about data ownership and control. As machines learn from vast amounts of data, there is a risk of sensitive information being compromised or misused. This highlights the need for robust regulations and safeguards to protect individuals' rights and prevent potential misuse of this technology. The Future of Generative AI While Cameron's concerns are valid, it's essential to acknowledge the potential benefits of generative AI. This technology has the potential to accelerate innovation, improve efficiency, and enhance decision-making in various industries. However, it's crucial to address the concerns surrounding job displacement, data ownership, and control. To mitigate these risks, it's essential to invest in education and retraining programs that equip workers with the skills needed to thrive in an AI-driven economy. Additionally, policymakers must develop and…...

35+ min ago (625+ words) View demo https://codepen.io/kspmultimedia/live/MYaGPmP [Screenshot of Feedback Buttons] Hi! I don't usually post much here but here's something I've been thinking about lately: I recently rebuilt this set of progress buttons as a practice project exploring how motion can communicate state change. Each button uses the same dark green fill but expresses progression differently: one flows horizontally, another condenses as it fills, and the third uses 3D perspective for a more dimensional feel. The 3D version feels right for longer processes " think document submissions or multi-step forms. The flatter styles suit quick, single-click actions. I originally found the concept on Codrops and rebuilt it using GSAP for smoother, more controlled motion. But this project reminded me of something bigger: Motion Isn't Decoration " It's a Design Decision The more I work with tools like Webflow and study the effect of motion across digital experiences,…...

35+ min ago (625+ words) View demo https://codepen.io/kspmultimedia/live/MYaGPmP [Screenshot of Feedback Buttons] Hi! I don't usually post much here but here's something I've been thinking about lately: I recently rebuilt this set of progress buttons as a practice project exploring how motion can communicate state change. Each button uses the same dark green fill but expresses progression differently: one flows horizontally, another condenses as it fills, and the third uses 3D perspective for a more dimensional feel. The 3D version feels right for longer processes " think document submissions or multi-step forms. The flatter styles suit quick, single-click actions. I originally found the concept on Codrops and rebuilt it using GSAP for smoother, more controlled motion. But this project reminded me of something bigger: Motion Isn't Decoration " It's a Design Decision The more I work with tools like Webflow and study the effect of motion across digital experiences,…...

42+ min ago (419+ words) Note: Part 2 of 2 - Adding infinite replayability to the security game Read Part 1 - how I built the initial version with specs, steering, hooks, and MCP. After building v1, I had a working game. But it had zero replayability. Once you played it, you knew exactly what to fix: The magic was gone after one playthrough. I needed every session to be unique. I told Kiro: "I need dynamic vulnerability generation." Kiro suggested: "Let's spec it out." Even for enhancements, specs provide structure. Kiro helped me design a template-based system. Each vulnerability = JSON file containing: 15 concrete steps from design to implementation. Having a roadmap helped me stay focused. I created the first template for code injection: This template contains everything needed to generate a unique vulnerability! I created templates for: Each with complete educational content and AWS recommendations. I tested it and immediately…...

42+ min ago (325+ words) In the early stages of learning Terraform, we often start by placing all configurations including... Tagged with terraform, 30dayschallenge, devops, aws. In the early stages of learning Terraform, we often start by placing all configurations including resources, variables, and providers into a single file, typically main.tf. While this approach is useful for showcasing basic principles, the goal is to continuously "get better". Today, we dive into Terraform file structure best practices to organize your root module, making your code readable and efficient. #moving-beyond-the-single-file Moving Beyond the Single File To improve our Terraform workflow, the key is to separate components into multiple files. This list of recommended files and naming conventions is based on general recommendations from HashiCorp, though the specific names are not strictly mandated. Here is the essential breakdown of files recommended for a clean Terraform project structure: " main....

42+ min ago (838+ words) In the early stages of learning Terraform, we often start by placing all configurations including resources, variables, and providers into a single file, typically main.tf. While this approach is useful for showcasing basic principles, the goal is to continuously "get better". Today, we dive into Terraform file structure best practices to organize your root module, making your code readable and efficient. Moving Beyond the Single File To improve our Terraform workflow, the key is to separate components into multiple files. This list of recommended files and naming conventions is based on general recommendations from HashiCorp, though the specific names are not strictly mandated. Here is the essential breakdown of files recommended for a clean Terraform project structure: [Recommendation project structure ] " main.tf: This file serves as the core of your module and holds the resource definitions for infrastructure components…...

45+ min ago (265+ words) Tired of your AI applications grinding to a halt under heavy load? Imagine trying to serve thousands of hungry customers from a single, overwhelmed food truck. That's what happens when your AI inference can't dynamically scale to meet demand. The core concept is to automatically adjust the computing resources allocated to AI inference based on real-time demand. We leverage a powerful combination: Kubernetes for container orchestration, Slurm for workload management on high-performance computing (HPC) clusters, and an optimized inference engine (like vLLM) to handle large language models (LLMs) with incredible speed. Think of it as having a fleet of food trucks that automatically appear and disappear based on the length of the line. When demand spikes, more trucks (compute resources) are deployed; when things quiet down, the extra trucks are put away, saving valuable resources. Benefits of Dynamic Inference Scaling: One…...