Building with Terraform or Vault? 🏗️ Join HashiCorp experts for live exam prep sessions designed to help you assess your knowledge, brush up on key concepts, and prepare for certification. Sign up today → https://ibm.co/6045EMUo5
IBM Developer
IT Services and IT Consulting
New York, NY 51,601 followers
Welcome to a global community of builders, thinkers, and problem-solvers.
About us
Join a global community of builders and problem-solvers. IBM Developer is your space to explore the latest in AI and DevOps through tutorials and expert insights
- Website
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https://ibm.biz/BdepWm
External link for IBM Developer
- Industry
- IT Services and IT Consulting
- Company size
- 10,001+ employees
- Headquarters
- New York, NY
- Founded
- 1911
- Specialties
- developers, cloud, artificial intelligence, blockchain, nodejs, Swift, Data science, AI, and serverless
Updates
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New to IBM Bob? This quickstart helps you get started with setup, codebase exploration, feature development, and testing. Start building → https://ibm.co/6047EMiHR
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IBM Developer reposted this
Artificial Analysis and IBM are launching ITBench-AA, the first in a new series of benchmarks evaluating models on agentic enterprise IT tasks, starting with Site Reliability Engineering tasks where frontier models score below 50% ITBench-AA’s SRE tasks benchmark model performance on Kubernetes incident response, where models must diagnose live systems by reading logs, tracing dependencies, and identifying root-cause entities across complex infrastructure. The underlying ITBench dataset has been developed by IBM's Software Innovation Lab, leveraging IBM’s deep expertise in enterprise IT operations Artificial Analysis has worked closely with IBM over the last 6 months to develop a implementation of the dataset for frontier AI evaluation, beginning with Site Reliability Engineering (SRE) and expanding to Financial Operations (FinOps) and Chief Information Security Officer (CISO) tasks over time. Congrats to Sriram Raghavan, Nicholas (Nick) Fuller, Daby Sow, Ayhan Sebin, Saurabh Jha, Bhavya and Rohan Arora on the development of the ITBench benchmark
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Another IDE? Developers already have enough of those. In this walkthrough, Nicholas Renotte gives an honest review of IBM Bob and explores what it actually feels like to build with it. 👇
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IBM Developer reposted this
4 trillion total circuits run. Our All Systems Dashboard on IBM Quantum Platform hit this extraordinary milestone earlier this week. 🎉 It means that developers have completed over 4 trillion computational routines—from initialization to the application of gates to qubit measurement—using IBM quantum computers. After a #DecadeofQuantum on the cloud, our community has grown to more than 240,000 active users and has contributed to over 6,000 research papers. 𝗧𝗵𝗲 𝘂𝘀𝗮𝗴𝗲 𝗴𝗿𝗼𝘄𝘁𝗵 𝗵𝗮𝘀 𝗯𝗲𝗲𝗻 𝗲𝘅𝗽𝗼𝗻𝗲𝗻𝘁𝗶𝗮𝗹: - 2018: Over 130 million circuits run - 2019: Nearly 95 billion circuits run - 2021: Surpassed 1.3 trillion circuits run Every day, thousands of developers run billions of quantum circuits on IBM quantum computers—building, optimizing, and executing them with the world’s most performant quantum software, #Qiskit. The type of research that has emerged as we’ve progressed from 3 trillion to 4 trillion circuits has helped push the field beyond theory and into the exploration of useful applications. We can't wait to see how quantum algorithms will evolve on the road to 5 trillion circuits. Build and run your first quantum circuit for free on IBM quantum hardware here: https://ibm.co/6041EMyPW
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IBM Developer reposted this
Richard Boyd and Rosemary Wang (Community Team at HashiCorp, an IBM Company) learn IBM Terraform the hard way by diving into the codebase and questioning all their assumptions. In this episode, they explore refactoring techniques to break down monolithic configurations and introduce modules with the help of @ibm-bob. This episode focuses on refactoring lower-level dependencies, such as networking and Kubernetes. To learn more, check out… Playlist: https://lnkd.in/e6bnyC2w Code: https://lnkd.in/eFwhqS_c Refactor monolithic Terraform: https://lnkd.in/eyUZS4SZ Refactor modules: https://lnkd.in/ePzWGs7M IBM Bob: https://bob.ibm.com/ #Terraform #IBMBob #InfrastructureAsCode #AI #HashiCorp #AWS #Cloud #Golang #DevOps
Getting into Terraform, Part 7: Refactoring Networking & Kubernetes
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Writing the playbook is only part of the work. The real overhead often comes from everything around it: ⚙️ handlers 👥 role structures 📄 templates + defaults 🔄 operational conventions 📘 documentation In this walkthrough, Alex Soto shows how IBM Bob can build an Ansible playbook from natural language, explain the workflow step by step, and convert it into a reusable role with the proper structure and documentation. Instead of spending time wiring together operational scaffolding manually, engineers can focus more on validating workflows and designing systems: https://ibm.co/6044EM67w
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Turn YouTube videos, podcasts, and conference talks into searchable knowledge. In this walkthrough, David Jones-Gilardi uses Docling + OpenRAG to: 🎤 extract transcripts + timestamps ⚙️ build an AI-ready RAG pipeline 🔎 search exact moments from long-form videos Find out how Docling + OpenRAG make videos searchable, so you can stop scrubbing through hour-long recordings for one insight. 🎥 Watch the full video: https://ibm.co/6046Ez2Ij 💻 Explore the GitHub repo: https://ibm.co/6047Ez2Id
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As context windows continue to grow, where does RAG still fit into modern AI workflows? Martin Keen explores how RAG and long-context models compare when building AI apps and agents, and why factors like grounding, latency, and accuracy still shape the approach teams choose in practice. Watch here: https://ibm.co/6043EzeXN
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