Want to deploy internal AI tools like summarizers or tone-adjusters? Mostafa Ibrahim's latest tutorial shows how to build lightweight AI utilities using Civo's privacy-first stack: relaxAI for secure inference, Civo Database for dynamic prompts, and Civo Kubernetes for fast deployment. Learn how to create tools that update instantly without redeployment, perfect for rewriting messages, summarizing content, or explaining code. Build your AI utility now: https://civo.io/47QK8cX
How to build lightweight AI utilities with Civo
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If you haven’t tried Gordon recently, you’re missing out. Docker’s AI agent is now faster, more capable, and better integrated with your dev workflow. In this demo, Christopher Petito from the AI team walks through: - Smarter responses, grounded in live Docker Docs - Thread support for persistent, organized conversations - File uploads for better context - Integration with the MCP Catalog and Toolkit - Real use cases including Docker Hardened Images, Scout, and Model Runner If you’re building with Docker, Gordon now works the way you do. 📺 Watch the update: https://lnkd.in/dVK3CArQ Tried it already? Let us know how it's working for you
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I keep telling people Docker used to be the first "tool" to the right of the IDE, we're working hard to make sure it's the first agent to the right of the coder-agent (claude code, et al.). There's a lot more goodness like this coming, but it's already really useful as a core part of the loop. Check it out!
If you haven’t tried Gordon recently, you’re missing out. Docker’s AI agent is now faster, more capable, and better integrated with your dev workflow. In this demo, Christopher Petito from the AI team walks through: - Smarter responses, grounded in live Docker Docs - Thread support for persistent, organized conversations - File uploads for better context - Integration with the MCP Catalog and Toolkit - Real use cases including Docker Hardened Images, Scout, and Model Runner If you’re building with Docker, Gordon now works the way you do. 📺 Watch the update: https://lnkd.in/dVK3CArQ Tried it already? Let us know how it's working for you
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Ever asked an AI assistant to implement a feature and watched it confidently return a solution—only to find out the method or library it used doesn’t even exist? You’re not alone. Here’s how to stay sane while working with AI-generated code.
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AI in dev - making the right bet: 'It’s not about AI-powered code, it’s AI-powered everything-around-the-code' - Andrew Boyagi of Atlassian investigates how AI adoption can save or waste time for developers. http://dlvr.it/TMjrXk
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AI in dev - making the right bet: 'It’s not about AI-powered code, it’s AI-powered everything-around-the-code' - Andrew Boyagi of Atlassian investigates how AI adoption can save or waste time for developers. http://dlvr.it/TMjrXw
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AI in dev - making the right bet: 'It’s not about AI-powered code, it’s AI-powered everything-around-the-code' - Andrew Boyagi of Atlassian investigates how AI adoption can save or waste time for developers. http://dlvr.it/TMjrXs
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GitHub leads the Gartner® Magic Quadrant™ for AI Code Assistants. A milestone that confirms how AI is transforming software development from the ground up. This is powered by GitHub Copilot who is leading the way. If you’re looking to accelerate delivery, reduce technical debt, and empower your teams, now is the time to explore what Copilot can do for you. 👉 More details and link to the full report: https://msft.it/6041so57f #GitHubCopilot #AI #DeveloperExperience #GartnerMagicQuadrant #msftadvocate
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📚 16 Sep → RAG for DevOps Today we’re unlocking the power of Retrieval-Augmented Generation (RAG) : the backbone of building your team’s AI knowledge base. From reducing AI hallucinations to connecting directly with your infra docs, RAG ensures your DevOps answers are accurate, fast, and context-aware. 🚀 Join KodeKloud’s Free AI Learning Week and see how RAG can supercharge your workflows - https://kode.wiki/42ocDuJ
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SilentCanary redefines the concept of "tombstoning" by introducing an intelligent dead code detection system. Unlike traditional methods that rely on manual deprecation, SilentCanary implements canary monitoring to identify genuinely inactive components within your codebase. This innovative approach utilizes ML-powered pattern recognition to provide real-time evidence of code obsolescence, going beyond static analysis tools that often generate false positives. ⏺ 🪦 Eliminate Guesswork with SilentCanary's Dead Code Detection When faced with a sprawling codebase, the uncertainty of whether functions are still in use can be daunting. SilentCanary offers a solution by actively monitoring code paths during production, signaling true code inactivity when check-ins cease, distinguishing between dormant and genuinely dead code. ✅ Accurate dead code detection through runtime evidence ✅ ML-powered analysis to identify code in a "zombie" state ✅ Confidence in safe removal of unused functionality ✅ Automated tracking of code activity for enhanced transparency Our Smart Alerts are the key to detecting code transitions from active to irregular to defunct, providing early warnings of potential failures. Plus, our AI offers optimal configuration settings tailored to your needs. Don't leave the fate of your codebase to chance. Embrace effective monitoring with SilentCanary. 👀 Interested in intelligent code monitoring? Explore more at https://silentcanary.com #DeadCode #CodeCleanup #SoftwareEngineering #DevOps #TechDebt #Monitoring #AI --- Do you have a memorable "I deleted the wrong function" anecdote? Share it below! 👇
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Inaugural issue of our AI Dev Tools newsletter, detailing both tools to help you in your dev workflow and tools for those building with AI. Issue #0 🔹 Warestack — Write release protection rules in plain English. No more deciphering YAML just to keep your deployments safe. 🔹 Archon — A custom knowledge base + task manager, packaged as an MCP server for your agents. 🔹 MarkItDown — Convert almost any document to clean Markdown, optimized for LLM ingestion. 🔹 TensorZero — An open-source LLM gateway with observability, optimization, and evaluation built in. 🔹 cognee — A straightforward approach to AI memory management. 🔹 Wakatime — Automatic coding analytics that show how you actually spend your time. 🔹 LangWatch — An agent simulator that helps uncover edge cases before they bite you in production. All links in comments #devtools
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