"Context window engineering breakthrough: Claude skills and DeepSeek OCR"

Static scans test your code. Autonomous Attack Simulation tests how your agents 𝙩𝙝𝙞𝙣𝙠. Sai breaks down how to integrate AAS into CI/CD, complete with YAML examples, behavioral metrics, and the evolution from DevSecOps → 𝗔𝗴𝗲𝗻𝘁𝗦𝗲𝗰𝗢𝗽𝘀. Test cognition before it ships. 🧠 Read now → https://lnkd.in/g5P9PVbW

What is machine vision ? Machine vision is an essential component of how digital systen interact with the real world. It let's automated systems see components, products, patterns, codes, or other object and use that information to make decisions.

From reactive firefighting 👉 proactive customer protection. That was the goal for our Customer Centric Engineering team, who increased efficiency by eliminating manual data collection through intelligent pattern recognition. With a scaled specialized expertise across diverse product portfolios, they successfully achieved major performance gains, all with the help of AI agents and automation. Learn more: https://sforce.co/46X4NLr

99.7% FASTER Resolution Time? That's not marketing hype-that's the real engineering efficiency Salesforce achieved by putting AI to work in Customer Escalations. This deep dive shows exactly how the Customer Centric Engineering (CCE) team flipped the script: *AI Agents now eliminate days of manual data collection for engineers. * Intelligent Pattern Matching instantly connects new issues to old fixes, stopping reinvention. * AI-powered debugging tools (like Cursor/Windsurf) slash the time spent reproducing complex customer environments. AI is the ultimate tool for turning operational firefighting into proactive protection. If you're only focused on generative AI for content, you're missing the true efficiency gains in engineering and support. #DigitalTransformation #Innovation #Technology #Marketing #AI #Automation #ArtificialIntelligence #Engineering #EngineeringManagement #FutureOfWork #CustomerExperience #CustomerService #CX #Productivity #Efficiency #ThoughtLeadership #Strategy #GenerativeAI #SaaS #BigData

Least-to-Most Prompting: Build Complexity Gradually By solving smaller versions of a problem first, the model scaffolds its way toward harder tasks. The same way humans learn—through progressive abstraction.

Anthropic’s new MCP model is a great step forward in how we define and interact with Agents. By moving from tool calls in context windows to code execution interfaces, they are cutting token waste and improving scalability. This kind of architectural progress changes how we build AI systems with greater efficiency, control, and precision. https://lnkd.in/eMVEgvU2

Trusted autonomy, 50× faster. Scientific Systems used Applied Intuition’s Axion platform to simulate 20 maritime tests in minutes. Accelerating AI-enabled autonomy. Breaking through testing bottlenecks. Here’s how they did it → https://lnkd.in/gdDMujjy

We are proud to partner with Applied Intuition to advance trusted autonomy across air and maritime domains.    Together, we’re breaking through testing bottlenecks and accelerating trusted autonomy. Using the Axion platform, our team has been able to move faster toward mission-ready autonomy. Applied Intuition’s engineers partnered closely with our team, iterating quickly and delivering new features shaped by our mission needs.    #autonomy #defensetech 

“The shift is toward context-aware agent architectures, especially as we move from simple task-based agents to autonomous agentic systems that make decisions, chain together complex workflows, and operate independently…”

The way data capture works is changing. With the new AI-driven Scandit SDK 8.0, intelligence and context are now embedded directly at the point of capture — where information first enters the workflow. Rather than just capturing information, it now supports the person behind the scan, understanding their intent, adapting to context, and offering guidance in real time. In my latest blog, I share how this shift transforms scanning into a true workflow engine that helps people act faster and with more certainty: https://okt.to/g2QMB4