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AI FinOps: The Next Frontier of DevOps Optimization
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AI FinOps: The Next Frontier of DevOps Optimization

10 September Online

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About this event

We spent years optimizing cloud infrastructure, right-sizing VMs, tuning pipelines, and fighting surprise cloud bills. Now a new cost center has entered the chat: AI. Every prompt, every agent interaction, every repository scan, and every generated line of code consumes tokens—and those tokens add up quickly.

AI coding assistants and agents like GitHub Copilot, Claude Code, and OpenAI Codex are transforming how teams build software. But scaling AI adoption without understanding consumption patterns is a bit like giving everyone an unlimited cloud subscription and hoping for the best. (We all know how that story ends.)

In this session, we'll explore AI FinOps practices for enterprise engineering teams: how to measure AI consumption, optimize token usage, improve agent workflows, manage context efficiently, choose the right models, and get more value from every AI interaction.

Through practical examples with GitHub Copilot and modern AI coding agents, we'll apply familiar DevOps principles—visibility, optimization, governance, and continuous improvement—to the next generation of software delivery.

Come at 5:30 pm have some pizza and chat for a bit. The presentation starts at 6:00 pm.

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Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

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