Connext Drive 4.0: AI for SDV Development Simplified

Think your LOS is modern? If it’s not API-first, automated and co-lending-ready - it’s already behind. Today’s LOS is more than a user interface. It’s an intelligence layer: AI-driven intake, automated document validation, and configurable decisioning make every step faster and more accurate. Swipe through the features that define the next-gen stack. Rewind to see the problems in traditional LOS: https://lnkd.in/d5Ca_XF9 🔗https://lnkd.in/dGc3vFTK #LoanTech #DigitalLending #LOS #Automation #LTFloW

Official Launch! We're excited to announce that our new n8n Community Node, n8n-nodes-carsxe, is officially available! If you work with vehicle data, this is a huge time-saver. This node allows you to seamlessly integrate n8n workflows with the CarsXE API, making it simple to automate tasks like: 🚗 VIN Decoding: Instantly retrieve vehicle specs and manufacturer details. 📜 History Reports: Programmatically fetch comprehensive vehicle history data. 💰 Valuation Checks: Automate market value lookups for inventory or appraisal workflows. How to get started in n8n: Go to Settings > Community Nodes. Install package: n8n-nodes-carsxe W built this to fill a specific integration gap, and I hope it helps you build more powerful, data-driven automations! #n8n #Automation #LowCode #Integration #WorkflowAutomation #VehicleData #CarsXE #DevOps

Today, I am announcing the launch of AlphaBitCore. Our mission is to provide the operational AI fabric that product development teams are missing. In the product development workflow, most time is lost between tools, not inside them. Engineers only spend about 52 minutes a day actually coding, roughly 11% of the week. A single interruption can cost 25 minutes to refocus. And 80% of IT leaders report using three or more automation tools, a pattern that delays work and drives up costs. As MCP adoption grows, connectivity gets easier, and coordination gets harder. That is where a control plane matters. What breaks first in real workflows: 1. Identity and policy drift across tools, inconsistent entitlements, manual gates 2. Data contracts that crack between trackers, repos, builds, and observability 3. Observability and provenance that cannot trace input to tool calls to outcome 4. Human in the loop that does not fit PRs, releases, and incidents 5. Change surfaces for agents, prompts, tools, and policies that are hard to version 6. Unit economics that no one can see per task, not just per token What the control plane must do: 1. Treat identity and policy as portable, first class primitives 2. Provide federated data access with governance built in 3. Orchestrate tool use with guardrails, versioning, and rollback 4. Offer end to end telemetry with auditability and lineage 5. Make performance and cost observable across the lifecycle If this is the work you are trying to operationalize, see how it comes together in the product. https://alphabitcore.com #AI #MCP #ModelContextProtocol #EnterpriseAI #AIInfrastructure #Middleware #Integration #AIOrchestration #Security #Observability #Governance #DevTools #SoftwareEngineering #ProductDevelopment

🚀 Inference Gateway version 0.20.0 is live! and it brings Vision to the platform! 👁️⚡️ This release introduces one of the most requested capabilities: Vision Support across any provider that exposes vision APIs - all unified through the Inference Gateway. What’s new? ✨ Vision Capabilities Inference Gateway now lets you plug in any vision-enabled LLM provider and use them seamlessly within your existing workflows. No provider lock-in, no rewrites - just pure interoperability. How to activate it: 1. Check which vision providers are currently supported 2. Enable it via the ENABLE_VISION environment variable 3. That’s it - Vision becomes part of your agent workflows This unlocks a whole new level for automation, analysis, testing, and multi-modal A2A agents. Heads up: Keep in mind that not all LLMs support vision. If you attempt to use a model that doesn’t support vision, the Gateway will return a 400 error - so double-check your model selection. 🔗 Full release notes: https://lnkd.in/dchnNv5K Stay curious and keep building. 🚀 #InferenceGateway #Vision #MultiModal #Inference #NewRelease

🌩️ Nimbus Eight — Software That Works Every Time At Nimbus Eight, we believe reliability isn’t optional it’s the foundation of great software. Your business deserves technology that performs flawlessly, launches smoothly, and grows without breaking. That’s why we’ve built our entire process around stability, automation and high-quality engineering. Our poster captures this promise through a bold visual: a strong, confident figure holding a laptop a symbol of powerful, dependable tech. Around it, we highlight the core pillars that define Nimbus Eight: ✨ Faster, safer releases We streamline your development pipeline so every update reaches your users quickly and securely without risking performance. 🔁 Continuous integration testing Every change is automatically tested, ensuring your system stays stable from commit to launch. 🐞 Fewer bugs at launch Because your product shouldn’t surprise you on release day. We prioritize clean code, automated checks and quality at every step. At Nimbus Eight, we help you move from “I hope it works” to “I know it works.” With us, you’re not just launching software you’re launching confidence, credibility, and long-term success. Trust your tech. Launch with confidence. Nimbus Eight Building reliability into every line of code. #nimbuseight #reliablesoftware #techsolution #softwaredevelopment #qualityassurance #devopspipeline #appdevelopment #techbusiness

Open source software for liquid handlers speeds protocol changes, reduces costs, and connects robotics with LIMS and ELNs for faster, compliant lab automation.

🔍 PROSTEP Products – What’s New? “News in a Nutshell” gives you a compact overview of ongoing product developments – from extended integration capabilities to performance improvements in OpenPDM, OpenCLM, and OpenDXM GlobalX.  This strengthens the foundation for seamless data exchange, lifecycle integration, and cross-domain collaboration. #PLM #Innovation #Software #DataExchange 

Manual execution slows innovation. Autonomous performance pipelines don’t. At #RTCTek, performance testing runs itself; integrating with CI/CD pipelines to automatically trigger tests after each build, collect metrics, and adapt based on previous outcomes. Machine learning models learn from historic runs, fine-tune concurrency thresholds, and adjust test parameters dynamically, creating a self-evolving testing ecosystem. The result? Zero manual intervention, faster feedback loops, and a performance framework that scales with your delivery speed. Discover how RTCTek’s Performance Testing Services can empower your business: https://lnkd.in/dpS7E78Y #rtctek #roundtheclocktechnologies #performancetesting #automation #continuousintegration #scalability

#31days of working with AI as PM Most of my early automation flows in n8n were built entirely with pre-made nodes. They worked fine — until I hit those real-world needs: -cleaning up incoming data -reshaping payloads for APIs -running a quick validation before making a call -adding custom logic or conditions Instead of waiting for a new node or writing a separate microservice, I started dropping in Function nodes right in the workflow. This small shift made a big difference: I can validate and transform data on the fly I can connect any API that doesn’t have a ready-made node I can branch workflows based on dynamic logic It turned n8n from a drag-and-drop tool into a true workflow engine that adapts to product needs in minutes — not sprints. Actionable Takeaway: 👉 If you’re a PM or builder using n8n: Learn to use the Function node ( ofcourse AI help me to build that as I dont knwo function code) to fill the gaps between standard nodes Handle validation, mapping, and branching logic directly inside your workflow Move faster by testing and iterating yourself, instead of waiting on dev support for every custom step Reference: This approach helped me move from static, template-based automations to dynamic workflows — speeding up experiments and product launches. #100DaysOfAI #Day31 #n8n #Automation #NoCodeToCode #WorkflowEngineering #ProductManagement #AIforPMs