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#devops

We built a Claude Code bug-fixing workflow in Slack that opens a PR and records a demo for review

Reddit r/AI_Agents ↗ · 2026-09-12

Archestra built a Claude Code bug-fixing workflow in Slack that triggers automated bug fixes, creates pull requests, and records demos for review, using a controller to manage development environments on GCP with Kubernetes.

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#devops

@learnk8s: This article reads the HPA as a proportional controller from control theory, showing why the deadband, high gain and sl…

X AI KOLs Timeline ↗ · 2026-09-12 Cached

This article analyzes Kubernetes Horizontal Pod Autoscaler (HPA) through control theory, explaining its behavior as a proportional controller and discussing trade-offs like deadband and slow response in autoscaling.

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#devops

@ClaudeDevs: Here's how our team uses Claude Tag for on-call: When an alert fires in Slack, Claude pulls metrics, diffs deploys, and…

X AI KOLs Following ↗ · 2026-09-11 Cached

A team uses Claude Tag for on-call operations, where it automatically pulls metrics, diffs deploys, and checks flags in Slack to identify issues and propose fixes for rapid approval and merge.

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#devops

@shcallaway: I am compulsively Terraforming EVERYTHING at Sazabi. - Google Workspace users, groups, perms - Google Drives - 1Passwor…

X AI KOLs Following ↗ · 2026-09-10 Cached

The author describes using Terraform to codify and version control company configurations across various services like Google Workspace, 1Password, and Slack, highlighting benefits for management and agent automation.

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#devops

@svpino: I quit a job after 6 months because I didn't want to be on call to fix whatever happened in the middle of the night. I …

X AI KOLs Following ↗ · 2026-09-10 Cached

The article discusses the challenges of on-call incident response and introduces incident.io's new 'Investigations' product, which uses AI to provide instant root-cause analysis and context, significantly speeding up resolution.

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#devops

Where should an AI agent’s spending authority actually live?

Reddit r/AI_Agents ↗ · 2026-09-10

The article discusses whether AI agents should have internal or external spending authority, advocating for external policy enforcement through tools like gateways to manage budgets across multiple agents.

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#devops

Every Millisecond Counts

Lobsters Hottest ↗ · 2026-09-09 Cached

This blog post details incremental optimizations to reduce ClickHouse query latency from over 85 seconds to sub-second, including changes to partition keys, join elimination, and aggressive merges.

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#devops

What does your infra actually look like for agents running unattended?

Reddit r/AI_Agents ↗ · 2026-09-08

A discussion asking about infrastructure setups for running AI agents unattended, covering aspects like execution environments, tool management, secrets, versioning, failures, and scheduling.

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#devops

Our doc-QA agent runs four small models as four separate services - has anyone actually consolidated this?

Reddit r/AI_Agents ↗ · 2026-09-08

The author describes consolidating four small AI models from separate services into a single server using Superlinked's inference engine to reduce operational overhead, while discussing trade-offs like GPU sharing and blast radius concerns.

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#devops

@XAMTO_AI: Tired of SSH patchwork, old panels, and a bunch of scripts? ServerKit packs sites, databases, Docker, SSL, firewalls, b…

X AI KOLs Timeline ↗ · 2026-09-03 Cached

ServerKit is a lightweight, modern server control panel that consolidates management of sites, databases, Docker containers, SSL, and security into a single web interface, designed for efficiency on minimal resources.

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#devops

So... Nobody on our team could tell me which version of our agent was actually running in production!

Reddit r/AI_Agents ↗ · 2026-09-03

A team encountered version tracking and monitoring failures with AI agents in production, leading to unreviewed changes and behavioral drift. The author discusses tools and practices to manage agent deployment similarly to traditional software.

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#devops

I let an agent pick its own task every morning for 23 days. 41 runs, 19 reached production, 22 died. The 22 are the reason it works.

Reddit r/AI_Agents ↗ · 2026-09-03

An experiment running an AI agent for 23 days to autonomously select and execute tasks via GitHub Actions, with automated checks resulting in a 54% failure rate that enhances efficiency by minimizing manual audits.

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#devops

Run cloud agents on machines you manage (6 minute read)

TLDR AI ↗ · 2026-09-03 Cached

Cursor now allows teams to run cloud agents on self-managed machines within their network, providing greater control over infrastructure while maintaining agent orchestration from the Cursor platform.

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#devops

Revisiting Joel's Test - exe.dev blog

Lobsters Hottest ↗ · 2026-09-02 Cached

The article revisits Joel's Test for software teams and introduces the Shelley Test, which adds questions related to AI agents, agentic code review, continuous deployment supervised by LLM agents, and other modern practices to evaluate high-functioning development teams in the age of AI.

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#devops

@shao__meng: AI's coding speed has improved, but the review, approval, and handover processes remain at the same pace, with efficien…

X AI KOLs Timeline ↗ · 2026-09-02 Cached

Anthropic发布了AI原生软件开发生命周期手册,将六个阶段重构为闭环产品链,以解决AI编码速度提升但审查、批准和交接流程滞后导致的效率瓶颈问题。

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#devops

I've spent months teaching my AI agent to babysit OpenClaw upgrades so I don't have to — here’s my playbook

Reddit r/openclaw ↗ · 2026-09-01

A user details a playbook for teaching AI agents to handle OpenClaw software upgrades, using memory and procedural knowledge to automate troubleshooting and reduce pain points.

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#devops

@sripathiteja4: Learn Coding by playing games 1. Kubernetes http://k8sgames.com 2. DevOps http://devops.games 3. Linux http://overthewi…

X AI KOLs Timeline ↗ · 2026-08-29 Cached

A tweet lists various online games and resources for learning coding and tech skills, including Kubernetes, DevOps, Linux, and programming languages.

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#devops

@UberEng: https://x.com/UberEng/status/2093444169037762840

X AI KOLs Timeline ↗ · 2026-08-28 Cached

Uber details their 'Software Factory' vision, where AI agents manage over 70% of pull requests and achieve significant cost reductions through optimized AI usage across the software development lifecycle.

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#devops

That's a Lot of YAML

Hacker News Top ↗ · 2026-08-28 Cached

A satirical article pointing out various flaws and quirks of YAML in DevOps and programming contexts, such as parsing errors and configuration errors in tools like Kubernetes.

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#devops

Building AI agents is the easy part now. Running them in a real organization is where things get complicated!

Reddit r/artificial ↗ · 2026-08-28

This article discusses the challenges of deploying AI agents in real-world organizations and highlights the role of control planes like Lyzr's for governance and operations.

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