How Oopsie AI simplifies error monitoring for developers

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

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

Check out this cool AI-assisted dashboard workflow I just built, powered by n8n and designed with Lovable AI! " This project is a great example of how to automate a process and visualize the data without writing a lot of code." Tools used : Backend : n8n UI : Lovable AI DB : Google Sheets GitHub : https://lnkd.in/gaKPizaJ #AiAgent #n8n #LovableAI #googlesheets #Dashboard #AI #Workflow #Automation Thankyou.

AI is really levelling up lesser technical community teams to do amazing things from a design perspective. Higher Logic community platforms make it easy to brand and customize your sites, but there's often a need to take things a step further. Usually, this would require bringing in developers, but we're seeing real examples of individuals using AI tools like Lovable or ChatGPT to help them code custom things into their site. (I don't think AI is replacing software developers, however, most software is quite a bit more complex than this) Here's an example that was shared in the Vanilla Success Community from our customer Glean where they went through their methodology with our community(a platform we're also big fans of here internally at Higher Logic) https://lnkd.in/eVj3_djV

Time for the next version of Aici VS Code Extension - now it supports: /update — AI automated file updates /commit — AI-generated git commit messages /plan — AI file change plans /build — AI-assisted build commands with error fixes https://lnkd.in/gSJt2Fuv

DeepSeek just dropped V3.1 and it's a complete game-changer for AI agents! This isn't just another model update - it's the first AI system that can actually THINK when it needs to and execute fast when it doesn't. One model, two modes: hybrid inference that switches between deep reasoning and rapid responses. The performance gains are staggering. DeepSeek-V3.1-Think solves complex problems faster than their previous reasoning model, while the agent capabilities have been completely transformed. We're talking about real improvements in multi-step reasoning, tool usage, and handling complex search tasks that actually matter for business applications. What caught my attention most? The pricing strategy. They're keeping current rates until September 2025, giving enterprises time to integrate before any changes kick in. Smart move that shows they're thinking long-term adoption, not quick profits. The open-source weights are already available, and the API now supports both Anthropic format and strict function calling. This means developers can start building production-ready agent workflows today without vendor lock-in concerns. The benchmark results speak for themselves - significant improvements across SWE-bench and Terminal-Bench, the gold standards for measuring real-world coding and system administration capabilities. This feels like the moment when AI agents transition from impressive demos to essential business tools. The efficiency gains in thinking processes alone could reshape how we approach complex problem-solving in enterprise environments. #AI #MachineLearning #ArtificialIntelligence #AIAgents #DeepLearning #Technology #Innovation #OpenSource #APIs #BusinessIntelligence #Automation #TechNews #FutureOfWork #SoftwareDevelopment #DigitalTransformation

💡 AI promises faster, smarter software testing—but it’s not all smooth sailing. ✅ Benefits: ⚡ Speed & efficiency 📊 Improved test coverage 🐞 Early bug detection ⚠️ Challenges: 📂 High data requirements 💰 Costs & skills gap 👉 What’s the biggest blocker to adopting AI in testing for your team? 💬 Drop your thoughts below—we’ll highlight some of your answers during Friday’s webinar! ✨ Follow us for more insights on AI in Testing all week. #AIinTesting #SoftwareTesting #QACommunity #AITesting #QualityAssurance #TestAutomation #AIAdoption #TestingChallenges #QATesting #BugDetection #FutureOfQA #AIForQA #MachineLearning #TechCommunity #SoftwareQuality

“We didn’t ‘automate everything.’ We automated the bottlenecks.” We plugged AI into the dev loop: spec drafting, test generation, PR review hints, and log analysis. Humans still owned architecture and merges. Result: shorter sprints, cleaner PRs, and fewer regressions. Value: - PR copilots that catch security smells - Auto-tests for boring paths; humans for edge cases - Log triage that flags anomalies in minutes - Real velocity, not chaos I set up AI-in-the-loop for teams in 7 days, tools, prompts, governance, metrics. Reply AI-LOOP if you want my guardrail checklist (so AI helps, not hurts). #AIForDevelopers #LLMAgents #SoftwareQuality #PlatformOps #FullStack

👀 Ever asked AI to “fix a bug”… and ended up with 10 extra surprises you never asked for? That was my Saturday morning with Cursor. Lesson learned: The prompt is the spec. Chat mode = architect’s desk, Agent mode = builder’s workshop. ⏱️ Benefits: • Less time thinking & implementing • More flexibility in code • AI output isn’t a black box anymore • Your wisdom stays in the decision-making • Easier to modify changes & brainstorm 👉 Do you plan first, write tight prompts, or just throw ideas and debug later? #CodeWithAI #DevLife #WeekendDev #SoftwareEngineering #AItools

💡10x Productivity Tip (using AI) Spawn multiple branches for agents to work simultaneously on a single project. -> Create branches for your issues (Sentry, Linear, etc) -> Move them to different git worktrees  -> Ask agents to get issue details for the connected MCP server and fix them. -> Once done, test and merge. Now you can work 10x faster than before. Try this, thank me later.