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OpenAI integrates models into AWS Bedrock, loosening Microsoft exclusivity. AWS gains as enterprises seek multi-cloud AI flexibility, potentially outperforming Azure.
Cursor pivots from IDE to agent platform, betting the AI model is a commodity and the orchestration harness is the future differentiator.
Mistral AI launches Mistral Medium 3.5 and cloud-based coding agents, enabling Vibe to teleport sessions and Le Chat work mode for autonomous task execution.
IBM Bob platform scales from 100 to 80,000 developers internally, reporting 45% productivity gains. Focuses on governance, auditability, and full-lifecycle enterprise AI coding for legacy and compliance-heavy environments.
SUSE evolves from open-source OS to AI-native infrastructure, unifying AI, containers, and VMs via Rancher Prime, Virtualization, and the Liz AI agent for automated operations.
Kubernetes is emerging as the go-to platform for AI workloads, with new data showing 82% production adoption and two-thirds of generative AI using it for inference.
AI coding agents on developer laptops cause lifecycle and security issues. Incredibuild's Islo provides each agent a persistent, isolated cloud environment with scoped credentials, solving these problems.
OpenSearch 3.5/3.6 introduce BBQ compression (32x memory saving) and SEISMIC sparse ANN, enabling dense+sparse hybrid search for AI agent memory and semantic retrieval.
IBM's AI coding assistant journey: from an API recommender in 2000 to IBM Bob with 80K users. Focus on developer friction and user experience over model power.
Mainframe modernization is crucial for AI success. Cultural shifts and open-source initiatives like the Open Mainframe Project unlock valuable data, enabling enterprises to harness AI effectively.
SAS's 50-year approach treats AI as just another tool, focusing on solving specific business problems rather than the technology itself, earning trust from Fortune 500 clients.
Learn to harness AI across the SDLC: planning, design, coding, testing, deployment, and maintenance. Includes prerequisites, step-by-step instructions with code examples, and common mistakes.
A tutorial on interpreting Apple's record quarter: revenue milestones, MacBook Neo demand, supply constraints, and regional growth.
This guide shows enterprise IT leaders how to handle unannounced changes from AI vendors, using Anthropic examples. Steps: assess vendor behavior, baseline metrics, monitor anomalies, negotiate contracts, test in staging, prepare rollbacks.
GitHub's critical RCE bug exposed millions of repos. Discovered with AI, caused by git push processing flaw. Fixed rapidly but 88% of Enterprise servers remained vulnerable.
Explore 7 insights on AI in database management: from SQL generation and performance tuning to the human-AI partnership. Covers benchmarks, Pareto principle, and real-world examples.
10 lessons from the SAP npm package supply chain attack: compromised packages, data theft, exfiltration methods, and how to protect developer environments and CI/CD pipelines.
Cloudflare now allows AI agents to autonomously create accounts and deploy apps, raising both excitement and security concerns.
AI is transforming software development across 10 key areas from planning to maintenance. Learn how AI agents automate code generation, testing, deployment, and more.
Learn from Anthropic's Claude Code regressions: 10 critical lessons on AI eval hygiene, from defining quality to understanding variance, to avoid shipping regressions in production.