A transformation is coming to Revenue Operations. Automated testing has been a staple in software development for over a decade, yet its integration into the technical domain of RevOps remains surprisingly low. But as AI rapidly evolves and continuous technological improvements become imperative, automated, cross-functional testing is the only thing standing between RevOps teams and tarnished customer perceptions, regulatory violations, and operational slowdowns. Check out our blog about how automated testing can shape your RevOps transformation to learn more: https://lnkd.in/eh7EvNRX
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I know what topic you WANT me to talk about, and I’m not gonna do it. Instead, I’m just going to say that we’re moving all aspects of business and life to inherit more of the properties of software, that’s the general trend of why we build what we build, and you (individual you) are a software company whether you like it or not. GitOps, AI agents, Digital Transformation, whatever. It’s all the same trend viewed from different lenses and in different scopes. It’s up to you to replace an appropriate amount of your work with code and decide how much you want to work on the API. Meatspace and cyberspace are blending.
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What we built🏗️, shipped🚢, and shared🚀 last week: Monitoring Agents with AgentOps.ai We learned: 💻 How terminal output made Alex Reibman and the AgentOps.ai team start building last year. ⚒️ How AgentOps differs from tools like LangSmith and WandB. 🧐 How easy it is to track sessions for agents in multi-agent applications! Whether AgentOps is just LLMOps or not!
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Founder & Chairman of apidays conference and GenerationAI Conference, API tooling space Investor, Founder of Olympe.legal, Author & Lecturer
If with AI code agents will reduce the cost of software to (almost) zero, why will we need to design and maintain great APIs? 1 million mini-agents will fix 1 million API clients at every change. If GenAI delivers its promise at scale for code generation, things will change radically in our software world!
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Not all code is created equal – when dealing with sensitive parts of your codebase or security and compliance regulations, there are a lot of important rules that are hard for your team to keep track of. Our automation engine gitStream reduces this cognitive load by implementing Policy-as-Code, and automating guard rails like routing PRs where they need to go based on your teams’ merge policy. Hear our COO and Co-founder Dan Lines talking about the benefits of Policy-as-Code in this week’s Dev Interrupted linked below 👇 #AI #Automation #CodeReviews
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What if IT operations could predict and solve problems before they even happen? 🤔 🤖 That’s the promise of AIOps—using AI and machine learning to automate tasks, improve system reliability, and deliver actionable insights. With complex IT environments and the demand for faster DevOps cycles, AIOps is becoming the go-to solution for modern software teams. Want to know more? Check out this article on why AIOps is the future of software development. #AIOps #DevOpsInnovation
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Did you know that most gen AI projects never make it to production? After successful POCs, many hit blocks when faced with scaling complexities. The main reason? Over-abstraction in their workflows. Instead of speeding things up, overly complex tools slow progress. We believe there’s a better way—start with solid software principles. 🔗 https://hubs.la/Q02RnchQ0
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🚀 Imagine reducing your software QA time from weeks to mere minutes! Teams using MagnifAI have seen a 56% cut in task completion time and a 45% increase in testing frequency. By integrating our solution with your existing automation frameworks and test management tools, you too can accelerate your QA process while maintaining high product quality. Curious to know more? 👉 https://magnif.ai/
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https://magnif.ai
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Cloud Security Analyst @ Snowbit by Coralogix, Detection & Response, CSPM & CWPP, Vulnerability Management, Ex AWS Community Builder, Volunteer at HIH Community
What if IT operations could predict and solve problems before they even happen? 🤔 🤖 That’s the promise of AIOps—using AI and machine learning to automate tasks, improve system reliability, and deliver actionable insights. With complex IT environments and the demand for faster DevOps cycles, AIOps is becoming the go-to solution for modern software teams. Want to know more? Check out this article on why AIOps is the future of software development. #AIOps #DevOpsInnovation
Is AIOps the Future of Software Development?
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SIEM | SOC | Cyber Security | Splunk | Accenture MSS | Crowdstrike | RSA Netwitness | SIEM Admin | Enterprise Security
What if IT operations could predict and solve problems before they even happen? 🤔 🤖 That’s the promise of AIOps—using AI and machine learning to automate tasks, improve system reliability, and deliver actionable insights. With complex IT environments and the demand for faster DevOps cycles, AIOps is becoming the go-to solution for modern software teams. Want to know more? Check out this article on why AIOps is the future of software development. #AIOps #DevOpsInnovation
Is AIOps the Future of Software Development?
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What if IT operations could predict and solve problems before they even happen? 🤔 🤖 That’s the promise of AIOps—using AI and machine learning to automate tasks, improve system reliability, and deliver actionable insights. With complex IT environments and the demand for faster DevOps cycles, AIOps is becoming the go-to solution for modern software teams. Want to know more? Check out this article on why AIOps is the future of software development. #AIOps #DevOpsInnovation
Is AIOps the Future of Software Development?
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