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# How Agentic DevOps gave us Dev time back

What if an AI agent drafted pull requests to optimize your multi-cloud infrastructure? Discover how Resices used agentic DevOps to eliminate operational toil and cure engineering burnout.

- **Speakers:** [Alejandro Albuerne](https://www.wearedevelopers.com/@alejandro-albuerne)
- **Event:** World Congress 2026 Europe
- **Published:** July 9, 2026
- **Duration:** 4:02
- **URL:** https://www.wearedevelopers.com/videos/100122-how-agentic-devops-gave-us-dev-time-back

## Summary

Engineering burnout often stems from operational toil and context switching rather than complex problem-solving. After a crucial pivot toward platform engineering, the team at Resices identified key friction points in their daily workflows: disjointed toolchains, fragmented team context, and time-consuming client onboarding. These inefficiencies consumed valuable time that could have been dedicated to proactive development and strategic improvements.

To reclaim this lost engineering time, they developed Agentyk, an agentic DevOps solution designed to unify infrastructure management across multi-cloud environments like AWS, GCP, and Azure. The agent consolidates observability metrics and cost management into a single source of truth, automatically suggesting infrastructure optimizations. By drafting pull requests for these optimizations while keeping a human firmly in the loop for final review, the tool effectively bridges the gap between automation and oversight.

Implementing this agentic approach yielded significant improvements in operational health. The centralized context drastically reduced the time spent jumping between tools, while the automation of mundane routines accelerated daily tasks. Consequently, this unified system enabled faster, more accurate client support and fostered better alignment across teams with diverse backgrounds. Most importantly, offloading manual infrastructure toil to an intelligent agent substantially decreased team burnout, allowing engineers to focus on meaningful, high-impact work.

**Keywords:** agentic devops, platform engineering, engineering toil reduction, cloud infrastructure automation, multi-cloud environments, infrastructure cost optimization, observability metrics, automated PR drafting, toolchain consolidation, human-in-the-loop automation, developer context switching, client onboarding workflows, infrastructure agent, AWS GCP Azure integration, single source of truth

## Chapters

1. **Pivoting product strategy toward platform engineering** (00:00) — How a critical conversation shifted a product focus toward saving developer time through cloud infrastructure and platform engineering.
1. **Identifying bottlenecks in team context and tooling** (01:20) — Recognizing the inefficiencies of disjointed toolchains, siloed team context, and tedious client onboarding processes.
1. **Automating cloud infrastructure with an infrastructure agent** (01:58) — An overview of an agent that unifies observability, tracks costs across multi-cloud environments, and drafts optimization pull requests.
1. **Reducing engineer burnout through agentic DevOps** (03:15) — The impact of a unified infrastructure agent on team synchronization, client support, and eliminating daily toil.

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