--- title: "Zero FLOPS Given" newsletter: "MLOps Community" date: 2026-02-26 source: https://aaif.live/newsletters/mlopscommunity/2026-02-26-zero-flops-given --- # Zero FLOPS Given *Plus Kubernetes sequencing, vibe coding risks, and agent productivity metrics* *MLOps Community — Agentic AI Foundation, 2026-02-26* Coding agents are really starting to clean up [https://www.popsci.com/technology/robot-vacuum-army/]. ## Declarative Until It Hurts If you’re SSHing into Pods to patch production, you don’t really believe in declarative systems. Under pressure, what do you reach for: live patch or spec change? [PATCH](https://gatewaze.mlops.community/offer/surveys/?sid=yesno&question=If+you%E2%80%99re+SSHing+into+Pods+to+patch+production%2C+you+don%E2%80%99t+really+believe+in+declarative+systems.+Under+pressure%2C+what+do+you+reach+for%3A+live+patch+or+spec+change%3F&y=PATCH&n=SPEC&oneclick=true&accept=true) [SPEC](https://gatewaze.mlops.community/offer/surveys/?sid=yesno&question=If+you%E2%80%99re+SSHing+into+Pods+to+patch+production%2C+you+don%E2%80%99t+really+believe+in+declarative+systems.+Under+pressure%2C+what+do+you+reach+for%3A+live+patch+or+spec+change%3F&y=PATCH&n=SPEC&oneclick=true&accept=true) ## On solid ground 82% said the bigger risk isn’t agent autonomy - it’s the foundations that let tests touch prod in the first place. ## Coding Agents - March 3, Computer History Museum A full day focused on what happens when coding agents meet engineering teams, real codebases, and production constraints. The speaker list leans heavily toward people doing the work. Sid Bidasaria, co-creator of Claude Code, is sharing what it took to move from prototype to product. Harrison Chase (LangChain), Zach Lloyd (Warp), and Faye Zhang (Pinterest) join engineers from Databricks, Semgrep, and HumanLayer. The through-line is what changes when you move from demos to deployed systems. Orchestration, governance, reliability, cost, and workflows that hold up under actual use. Two afternoon workshops round it out - one on structured workflows for shipping production code faster, the other on auditing and refactoring your codebase so agents can operate in it cleanly. Last few tickets here [Last few tickets here](https://luma.com/codingagents) [https://luma.com/codingagents](https://luma.com/codingagents) ## Curated finds to help you stay ahead ## Performance Optimization and Software/Hardware Co-design across PyTorch, CUDA, and NVIDIA GPUs GPUs fail more often than most teams plan for, and that reality leaks into every “optimization” decision from kernels to cluster design. * Co-design across the stack: why memory movement and arithmetic intensity often cap throughput long before you hit any advertised TFLOPS. * Reliability meets benchmarking: warmups, clock locking, throttling, and why a small percentage of cards can drop out quickly under sustained load. * Scaling is networking and topology: NVLink, InfiniBand vs custom fabrics, and the tradeoffs when you step away from vendor reference architectures. Faster runs come from treating heat, bandwidth, and failure as first-class constraints, not edge cases. [https://podcasts.apple.com/gb/podcast/performance-optimization-and-software-hardware-co/id1505372978?i=1000751243996](https://podcasts.apple.com/gb/podcast/performance-optimization-and-software-hardware-co/id1505372978?i=1000751243996) [https://home.mlops.community/home/videos/performance-optimization-and-softwarehardware-co-design-across-pytorch-cuda-and-nvidia-gpus](https://home.mlops.community/home/videos/performance-optimization-and-softwarehardware-co-design-across-pytorch-cuda-and-nvidia-gpus) [https://open.spotify.com/episode/4jtDi0Mns7iaIamyFz1v4l?si=0ea39eacdd5942f9](https://open.spotify.com/episode/4jtDi0Mns7iaIamyFz1v4l?si=0ea39eacdd5942f9) ## How To Get Started With Kubernetes: A Practical Guide Kubernetes docs are notoriously bad at telling you what to learn in what order - which is why a lot of people stall out before they build anything useful. This guide fixes the sequencing problem. * Walks through every core k8s concept (pods, deployments, services, RBAC, HPA, NetworkPolicies, storage) with minimal explanation, a CLI demo, and a hands-on exercise for each. * Uses Killercoda for managed practice environments, so you can run real clusters without local setup headaches. * Ends with a concrete next-steps section covering Helm, GitOps with ArgoCD, and IaC patterns for production. Work through the exercises and you stop memorizing terms and start predicting what the cluster will do next. [Read the blog](https://home.mlops.community/home/blogs/how-to-get-started-with-kubernetes-a-practical-guide) ## IN PERSON EVENTS * Amsterdam [https://luma.com/xbbjsa67] - February 27 * Mountain View, CA [https://luma.com/codingagents] - March 3 * Munich [https://luma.com/nfwzg8wv] - March 23 * London [https://luma.com/h57hqyvq] - March 26 ## VIRTUAL EVENTS * Reading Group: Advancing Open-source World Models [https://home.mlops.community/home/events/mlops-reading-group-february-advancing-open-source-world-models-0jdtkro79j?agenda_day=698df64d476e1012afdcd8ec&agenda_track=698df64e476e1012afdcd921&agenda_stage=698df64d476e1012afdcd8f0&agenda_filter_view=stage&agenda_view=list] - February 26 * Operationalizing AI Agents: From Experimentation to Production [https://home.mlops.community/home/events/operationalizing-ai-agents-from-experimentation-to-production-ps4tmp6g3o?agenda_day=698b7637ad917410bb9de954&agenda_track=698b7638ad917410bb9de96c&agenda_stage=698b7638ad917410bb9de95a&agenda_filter_view=stage&agenda_view=list] - March 25 ## Clawing back losses [https://forms.gle/8EDvXGizxyFVKfwy8](https://forms.gle/8EDvXGizxyFVKfwy8) --- Source: https://aaif.live/newsletters/mlopscommunity/2026-02-26-zero-flops-given