Glossary
Your guide to a few key terms in Agentic AI and software engineering.
Your guide to a few key terms in Agentic AI and software engineering.
Let’s talk strategy, scalability, partnerships, and the future of autonomous systems.
Learn about production systems in software engineering, the live environments where applications, services, and infrastructure run at scale. Explore how production systems enable reliability, automation, and continuous improvement while adapting to modern challenges in distributed software delivery.
Explore our comprehensive Agentic AI fundamentals: key concepts and terms, architecture components, operational frameworks, and best-practice implementation and scaling strategies for autonomous AI agents
AI SREs autonomously triage alerts, diagnose issues, and execute remediation workflows to enhance system reliability and performance.
Kubernetes (K8s) explained: core concepts, workloads, services, control plane, CI/CD, challenges, future trends, and how Resolve AI extends automation.
Master Mean Time to Resolution (MTTR): explore precise definitions, calculation methods, and industry benchmarks. Uncover actionable best practices, tools, and tactics to accelerate incident response, shrink downtime, and elevate system reliability.
Co-founded by Resolve AI’s founders, OpenTelemetry (OTel) is the CNCF standard for logs, metrics, traces, and profiling in cloud-native observability.
Master site reliability engineering covering SLIs, SLOs, error budgets, and DORA metrics, while harnessing agentic AI with vibe coding and vibe debugging to accelerate MTTR and deliver resilient software.
Learn what CI/CD pipelines are, why they matter, and how continuous integration, delivery, and deployment shape the future of software development.
Every program, whether written by humans or AI, has flaws in production. Learn about debugging, debuggers, breakpoints, and why AI debugging is the future.
Learn about the future of DevOps for enterprises, where development and operations evolve into a more integrated, secure, and intelligent model. Explore how core DevOps practices, modern pipelines, and cultural patterns are shaping the next decade of enterprise software delivery.
Learn about root cause analysis in software engineering, the practice of identifying the underlying causes of incidents rather than only fixing symptoms. Explore the RCA process, modern tools, and how teams improve reliability and prevent recurrence with Resolve AI.
Discover how AI is reshaping software engineering, from code generation and testing to vibe debugging and the shift towards becoming AI-native.