Most “AI no‑code” demos stop at a pretty front end. I stress‑tested platforms for production: auth, workflows, external APIs, analytics, and error handling. My takeaways + selection guide are here: https://lnkd.in/erPixZ5i
Testing AI no-code platforms for production readiness
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🚨 Too many errors, too little time? Every developer knows the struggle: Thousands of logs. Endless session replays. No clarity on which bugs actually hurt users. That’s why we built Oopsie AI Instead of treating every error the same, Oopsie uses AI to spotlight the issues that truly impact your users — the UI glitches, broken workflows, and blockers that derail real sessions. 👉 What makes it different? Prioritized error list: only the bugs that interrupt users. Video previews of exact error: see the issue instantly without scrubbing through heaps of sessions. Get better context: stack traces, network logs, payloads, environment. The result: less time chasing noise, more time fixing what matters. We’re already seeing teams move faster, debug smarter, and get closer to their users by using Oopsie daily. 💡 If you’re tired of drowning in irrelevant errors, maybe it’s time to let AI do the heavy lifting for you. Check out Oopsie mobile here : https://lnkd.in/dPqp7heN #ErrorMonitoring #DebuggingTools #DevTools #MobileDev #AppDevelopment #BugTracking #ErrorPrioritization #SessionReplay #DeveloperExperience #UserExperience
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🚀 We’ve been hard at work building something new—and today I’m excited to give you a first look. This short video shows how CoreStory unlocks the hidden intelligence in your legacy code. By using AI to surface business logic and technical insights, we give enterprises the clarity to modernize faster, maintain apps smarter, and reduce the risk of costly failures. Instead of telling you about it, we’ll show you what it looks like in action 👇 #RequireIntelligence #LegacyModernization #legacycode
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In our first video, we introduced the Agent Development Kit for TypeScript (ADK-TS). Now, in Part 2, we’re showing you its real power: tools and AI SDK integration. ✨ Tools are what turn a simple chatbot into a true assistant. Need quick calculations? Add a calculator tool. Want real-time weather updates? Build a weather tool. Looking to connect with databases, send emails, or call external APIs? Tools make it possible. ✨ SDK integration gives you the freedom to choose the brain behind your agent — GPT-4, Claude, Gemini… whichever suits your use case best. By the end of this tutorial, you’ll know how to: 🔹 Build and customize your own tools 🔹 Integrate them with agents 🔹 Run them on any AI model you prefer This is where your agents go from answering questions to interacting with the real world 🌏 Watch Part 2 here: https://lnkd.in/dgjNC2fJ And if you missed Part 1, you can catch it here: https://lnkd.in/d-Vwb2cP
ADK-TS Tools & AI SDK Integration - Give Your AI Agents Real Capabilities
https://www.youtube.com/
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Stop chasing “AI demos.” Start wiring systems that actually move the needle. The new AI Agent Blueprint just dropped. Same crew who nailed the MCP Guide. It’s not theory. It’s execution. What it means in practice: – Agents that file, route, and schedule without asking. – Workflows stitched into CRMs, inboxes, and payment rails. – Every action logged, every step auditable. No black boxes. No assistant cosplay. Just results: cleaner pipelines, faster intake, tighter SLAs. If your AI can’t update records and close loops, it’s not an agent. It’s a slide deck. All credit to Daily Dose of Data Science for making this.
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This is the only way AI will create real value, especially in government. It’s not about flashy demos; it's about execution. At Mport Media Group, our focus is on building auditable AI agents that can "update records and close loops," because that’s what actually improves mission effectiveness and service delivery. Anything else is just a slide deck. Thanks for laying it out so clearly, Shane Spencer.
I build AI automation & custom software that modernize legacy systems and supercharge business workflows
Stop chasing “AI demos.” Start wiring systems that actually move the needle. The new AI Agent Blueprint just dropped. Same crew who nailed the MCP Guide. It’s not theory. It’s execution. What it means in practice: – Agents that file, route, and schedule without asking. – Workflows stitched into CRMs, inboxes, and payment rails. – Every action logged, every step auditable. No black boxes. No assistant cosplay. Just results: cleaner pipelines, faster intake, tighter SLAs. If your AI can’t update records and close loops, it’s not an agent. It’s a slide deck. All credit to Daily Dose of Data Science for making this.
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This is the only way AI will create real value, especially in government. It’s not about flashy demos; it's about execution. At Mport Media Group, our focus is on building auditable AI agents that can "update records and close loops," because that’s what actually improves mission effectiveness and service delivery. Anything else is just a slide deck. Thanks for laying it out so clearly, Shane Spencer.
I build AI automation & custom software that modernize legacy systems and supercharge business workflows
Stop chasing “AI demos.” Start wiring systems that actually move the needle. The new AI Agent Blueprint just dropped. Same crew who nailed the MCP Guide. It’s not theory. It’s execution. What it means in practice: – Agents that file, route, and schedule without asking. – Workflows stitched into CRMs, inboxes, and payment rails. – Every action logged, every step auditable. No black boxes. No assistant cosplay. Just results: cleaner pipelines, faster intake, tighter SLAs. If your AI can’t update records and close loops, it’s not an agent. It’s a slide deck. All credit to Daily Dose of Data Science for making this.
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From code reviews to automation, GPT-5 is already reshaping daily dev workflows. The challenge now isn’t what it can do—but how we’ll choose to use it. 💻⚡ 👇 Stay in the loop with weekly AI + developer insights. Subscribe to our newsletter https://lnkd.in/esdP3eBC
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Hey folks 👋 Replit just dropped Agent V3, and it’s honestly a massive upgrade. Been playing around with it and planning to showcase in a video soon. Here’s what's new: 👉🏻 It can do automate testing of code. 👉🏻 You can now build AI bots or workflow automations in plain English. 👉🏻 Runs on its own for up to 200 minutes Let's try to build something really cool with this, You can drop your prompts or ideas that I can use in video in the comment below.
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𝗡𝗲𝘄 𝗺𝗼𝗻𝘁𝗵, 𝗻𝗲𝘄 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀: 𝗵𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁’𝘀 𝗳𝗿𝗲𝘀𝗵 𝗶𝗻 𝗙𝗹𝘂𝗶𝗱 𝗧𝗼𝗽𝗶𝗰𝘀. 💡 AI Enhancements > Chatbot conversations now respect active search filters. > Expanded analytics provide full visibility across Chatbot, Completion, and Translation activities. 💡 Import Configuration Easily transfer configurations between tenants, track recent imports, and set up new environments in minutes. 💡 Customizable Email Alerts Portal Administrators can now customize the content of automatic notification emails sent to users of the Alert feature. This update lets you select which metadata fields appear in alert emails. 💡 YouTube Connector Publish YouTube videos directly in Fluid Topics with the official player. 💡 Faster Reprocessing Our new backend accelerates document reprocessing by up to 2x, delivering speed and scalability. >> And that’s not all, check out the full Release Notes to explore everything we’ve shipped since the last update: https://lnkd.in/eVaTJbr7
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After vibe automating (text to workflow) across Pipedream, Gumloop, and Google Opal, here's what I learned: AI can build it, but you still need to: - Describe the input, output and logic well - Know how to debug because something in the flow will likely break. - Understand API docs and how data flows between each step. The bigger picture is that we're seeing the end of traditional no-code interfaces. Text to workflow will become the default or at least a huge part of how we interact with these automation and Agent building platforms. Deep dive into the 3 platforms in the comments below
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