Tag: devops automation
Beyond Log Search: What We Learned Building a RAG-Based Incident Diagnosis System
Abhimanyu Garg | | AI for SRE, AI hallucinations, AI incident diagnosis, AIOps, devops, devops automation, FAISS, incident management, incident remediation, incident response, knowledge management, knowledge retrieval, LLM grounding, LLM incident response, observability, postmortems, production AI, RAG AIOps, re-ranking, retrieval-augmented generation, root cause analysis, Runbooks, semantic search, SREA RAG-based AIOps framework can cut incident diagnosis time by grounding LLM reasoning in real runbooks, tickets and postmortems, improving root-cause accuracy while giving SREs source-backed answers they can trust ...
Scalable Jenkins Management: Empowering Enterprises With Centralized Control for 150+ Instances
Thrivikram Eskala | | ansible, ArgoCD, AWS, azure, CI/CD Automation, developer platform, devops automation, ELK stack, gitops, grafana, Helm, Jenkins, Jenkins administration, Jenkins backups, Jenkins control plane, Jenkins fleet, Jenkins management, Jenkins observability, Jenkins rollback, Jenkins upgrades, kubernetes, multi-cloud CI/CD, platform engineering, Prometheus, self-service platformA centralized Jenkins control plane can reduce fleet sprawl, automate upgrades and backups, improve observability, and give application teams safe self-service across large multi-cloud CI/CD estates ...
Elevating Technical Documentation: Using Predictive AI to Standardize Visual Knowledge Bases
Nazim Ghori | | AI documentation, AI visual validation, architecture diagrams, CI/CD documentation, computer vision, developer documentation, developer experience, devops automation, DevOps documentation, documentation automation, documentation drift, documentation quality, documentation quality gates, Git workflows, knowledge bases, OCR, predictive AI, screenshot validation, technical documentation, visual validationEvery release changes documentation alongside the code. Developers depend on that documentation during implementation, maintenance and troubleshooting. A diagram becomes misleading once services are renamed or integrations change without a corresponding documentation ...
How to Avoid Repeating the “Automate Everything” Mistake Due to AI FOMO
Alexey Golubev | | AI engineering, AI FOMO, AI Governance, AI implementation, AI in DevOps, AI maturity model, AI productivity, AI ROI, AI SDLC maturity, AI strategy, AI tools, AI-Driven DevOps, artificial intelligence, Cursor, DevOps AI adoption, devops automation, GitHub Copilot, Kubernetes AI, software development lifecycleThe DevOps community has already experienced technological extremes. You might recall the time when automation was thought of as a panacea for all possible engineering issues, and the slogan “Automate Everything” was ...
GitHub Gives Teams More Control Over Copilot’s Cloud Agent in Linear
Tom Smith | | agent guidance, agentic coding, AI coding agent, AI development workflow, automated pull requests, branch controls, Copilot cloud agent, custom coding agents, devops automation, engineering productivity, GitHub Actions, GitHub Copilot, GitHub Marketplace, Linear integration, Linear issues, mid-session steering, model selection, software development agentsGitHub’s Copilot cloud agent integration with Linear is now generally available, adding model, branch and team-level controls for delegated coding work ...
AI Agents in CI/CD Pipelines: Speed vs Control in Modern DevOps
The moment you push your code, deployment fires off on its own. The pipeline kicks in, the tests sail through, and within a few minutes your app is live in production. There ...
GitHub Copilot Gets Its Own App — and It’s More Than a Coding Assistant
Tom Smith | | Agent Merge, agentic development, AI coding assistant, CI/CD, developer tools, devops automation, GitHub Copilot, software development lifecycleGitHub has launched a standalone Copilot desktop app in technical preview, moving beyond the IDE to introduce a dedicated cockpit for agentic development. The app enables developers to manage parallel, isolated agent ...
GitHub’s Spec Kit Puts the Spec Back in Software Development
Tom Smith | | AI coding agents, devops automation, GitHub Copilot, GitHub Spec Kit, software governance, Spec-Driven Development (SDD), technical debt, vibe codingGitHub’s open-source Spec Kit aims to eliminate "vibe coding" by prioritizing durable specifications over vague prompts, providing a structured, agent-agnostic workflow for Copilot, Claude, and Gemini ...
Cursor’s New SDK Turns AI Coding Agents Into Deployable Infrastructure
Tom Smith | | agent control plane, AI coding agents, autonomous pull requests., CI/CD agent pipelines, Cloud execution sandboxing, Composer 2 model, Cursor SDK, devops automation, MCP integration, Model Context Protocol, Multi-agent workflows, Programmatic code generation, semantic search indexing, software lifecycle engineering, TypeScript SDK for AICursor's TypeScript SDK lets teams invoke AI coding agents programmatically from CI/CD pipelines, with sandboxed VMs, MCP support, and token-based pricing ...
AIOps Isn’t Optional Anymore: What Modern DevOps Teams Must Adapt To
Michael Chukwube | | AIOps, devops automation, incident response, machine learning operations, observabilityAIOps is becoming essential for DevOps teams, enabling faster incident response, less alert noise and improved reliability at scale ...
Cursor Cloud Agents Get Their Own Computers — and 35% of Internal PRs to Prove It
Tom Smith | | agent-driven development, AI code review, AI coding agents, autonomous software development, CI/CD and AI agents, cloud-based AI development, Cursor cloud agents, devops automation, self-verifying AI code, software engineering automationCursor’s new cloud AI coding agents can build, test, and verify software autonomously using real UI interaction. With 35% of production PRs generated by agents, software delivery is shifting from code authoring ...
The Future of AI in Software Quality: How Autonomous Platforms are Transforming DevOps
Igor Kirilenko | | agentic AI, CI/CD pipelines, devops automation, software quality, static analysisAgentic AI is transforming DevOps by embedding autonomous quality checks into CI/CD pipelines, improving code security, coverage and speed ...
