It goes beyond analyzing data, it creates. From generating text and images to designing solutions and writing code, Generative AI is redefining how businesses innovate and scale. #GenerativeAI #ArtificialIntelligence #FutureOfTech #AIInnovation #MachineLearning #AITools #TechTrends2025 #CodeXcelerate
How Generative AI is transforming business innovation and scaling
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AI Readiness Isn’t About Buying Tools.. It’s about giving your AI the context it needs to make sense of your systems. 💡 If you’re an engineering leader or developer working on modernizing systems, using LLMs effectively, reducing MTTR, or making your organization truly AI-ready — read on.. 🚀 I am excited to be speaking at Production Grade Agents Summit - SF Tech Week — a session on how observability itself needs to evolve in the age of large language models. As AI-generated code and autonomous agents change how we build and operate systems, our definition of observability needs to expand — beyond just metrics, logs, and traces — into something that’s contextual, intelligent, and actionable. I’ll be sharing how we at CodeKarma are shaping this next chapter, with a live demo of what we’re building. 🔗 Join us here: https://luma.com/4v5fxvij #Observability #LLMs #AI #DeveloperExperience #CodeKarma #EngineeringProductivity #AIReadiness
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At Nine, we're building a future where our engineers work alongside AI to work through roadblocks and focus on creativity and innovation. Our AI for Engineering Excellence Program is divided into five distinct modules, and the first of those: AI-powered development environments is about meeting users in their native environment: inside the code editor. Focused on integrating AI tools directly into the development workflow, module participants have been trialling capabilities and best practices. Module leads Joe Lee, David Lewis, and Simon Olsen share their insights into the AI-powered environment they’re building and what the journey of learning and curiosity has looked like so far. Read the article here: https://lnkd.in/gfTyvc8s Kelli Dudley Craig Bruce Aamir Mapkar #Technology #AIExcellence #TechCareers #Innovation #AI
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Excellent article on Nine's strategic AI integration. By creating a guided environment, we're empowering developers to accelerate learning and reach 'impossible' solutions. Excited to shape the future of media and tech with AI? Explore our opportunities: https://lnkd.in/gpKSg-Dm
At Nine, we're building a future where our engineers work alongside AI to work through roadblocks and focus on creativity and innovation. Our AI for Engineering Excellence Program is divided into five distinct modules, and the first of those: AI-powered development environments is about meeting users in their native environment: inside the code editor. Focused on integrating AI tools directly into the development workflow, module participants have been trialling capabilities and best practices. Module leads Joe Lee, David Lewis, and Simon Olsen share their insights into the AI-powered environment they’re building and what the journey of learning and curiosity has looked like so far. Read the article here: https://lnkd.in/gfTyvc8s Kelli Dudley Craig Bruce Aamir Mapkar #Technology #AIExcellence #TechCareers #Innovation #AI
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From presentations to coding, AI is transforming productivity in every field! Here’s your ultimate cheat sheet of AI tools that can make your daily work faster, smarter, and easier. Which one’s your favorite so far? 👇 #AIGrowth #AItools #ProductivityBoost #FutureOfWork
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Exciting developments in AI: Anthropic's Claude Sonnet 4.5 has just crushed the SWE-bench coding benchmark, outperforming even early GPT-5 previews on complex software engineering tasks. What stands out? It maintains laser-sharp focus across multistep workflows for over 30 hours, perfect for developers knee-deep in massive refactors or codebases. Plus, they've dialed back sycophancy in responses, making outputs more honest and reliable for real-world collaboration. As AI tools evolve, this could redefine how teams build and iterate. How are you leveraging advanced models like Claude in your workflow? #AI #MachineLearning #SoftwareEngineering #Anthropic Thoughts in the comments? Let's discuss! ��
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🚀 A coding assistant launched a new premium plan, 10x the price, 20x the power. In an increasingly competitive AI landscape, a top coding tool just introduced a $200/month tier offering massive upgrades: access to multiple advanced AI models, early access to features, and dramatically expanded usage limits. What’s more? They've grown from $100M to $500M in annual recurring revenue in record time, trusted by some of the biggest players in tech. With 10 million users onboard, this proves one thing: developers want faster, smarter tools, now. 👨💻 Would you pay more to code less? #AI #Productivity #TechInnovation #DeveloperTools
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No Way Around AI - Highlights from GOTO; 2025 Copenhagen AI was everywhere at GOTO; 2025 - from human-centered design and open source empathy to digital twins and vector databases. But the real message? Success still depends on people: empathy, creativity, and connection. Our Menno Hoogsteen went there with Rob Mooijman and captured two days of insights, demos, and reflections in a fresh recap of the event. A must-read for anyone curious about how AI is reshaping software development and what it means to stay human in the process. 👉 Read the full article here: https://lnkd.in/dW6w9NAd #GOTO2025 #AI #SoftwareDevelopment #ProductLeague #HumanCenteredDesign #TechConference
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"The gap between demo and durable product remains the place where most engineering happens. The future of building with AI, it turns out, looks a lot less like a magic show and a lot more like a well-run software project. And that’s where the real money is." Read more 👉 Overcoming AI development challenges, by Matt Asay https://lnkd.in/eYS-b2Ej #AI #AgenticAI #SoftwareEngineering
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That’s a wrap on our AI Team Ask Me Anything. 👏 Over the past few days, Morgante ⚡ Pell, Martin Holman, Jamie Danielson, 🚀 Purvi Kanal, and Talor Anderson shared their perspectives on building Honeycomb Intelligence and answered your questions. From the impact of telemetry quality, to using Canvas to debug Canvas, to how our datastore powers AI in ways other observability tools cannot, the discussions highlighted how we’re approaching AI differently. 💡 Key themes that stood out: - Telemetry quality directly shapes AI effectiveness - Instrumentation makes AI reliable and useful - Canvas helps engineers parallelize debugging - Honeycomb Intelligence uncovers insights you didn’t know to look for - AI is the interface, but the datastore is the real magic - We see promise in AIOps tools, but without overhyping Thank you to everyone who joined the conversation. 🤩 Keep following along as we share more about how AI and observability are coming together to help engineering teams work smarter: https://lnkd.in/g464tfXE #HoneycombIntelligence #honeycomb #observability #AI
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🚀 Anthropic just made frontier AI affordable. Claude Haiku 4.5 delivers the coding performance of Claude Sonnet 4—at 1/3 the cost and 2x faster. We're talking near-frontier intelligence for real-time applications: customer service, pair programming, autonomous agents—now economically viable at scale. The playbook is evolving: use Sonnet 4.5 for orchestration and complex reasoning, deploy Haiku 4.5 for execution. Speed is no longer a compromise on quality. Intelligence is no longer a luxury feature. This is what AI economics looks like when the frontier moves at Anthropic's pace. 🎯 #AI #Claude #Anthropic #LLM #TechInnovation
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