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The "Free" AI Tool That Will Ruin Your Code#speedscale #aiagents #aicoding #devops #softwareengineer

May 15, 2026 By Speedscale In Speedscale
Relying on AI and interns to build custom traffic replay tools is a scalability nightmare that introduces security risks, brittle code, and massive maintenance costs...use Speedscale instead. Learn more: speedscale.com.
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There's an npm-shaped hole in the AI tooling stack

May 15, 2026 By Dylan Etkin In Sleuth
I've had this same conversation with 60+ engineering teams in the last six months. A team adopts AI tooling. One developer figures out how to use it well, builds up a vault of skills, MCP configs, and slash commands that 10x their output. The rest of the team has whatever they can scavenge from a shared Notion doc.
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How Engineering and Ops Teams Use OKRs to Connect Technical Work to Business Outcomes

How Engineering and Ops Teams Use OKRs to Connect Technical Work to Business Outcomes

May 15, 2026 By OpsMatters In OpsMatters
Engineering and operations teams have a measurement problem that most other functions don't. The technical metrics are excellent. Deployment frequency is up. MTTR is down. Uptime is at 99.97%. The CI/CD pipeline is running cleanly and the on-call burden has been reduced by 30% since the team adopted a proper incident management process. By every internal measure, the team is performing well. And yet, in the quarterly business review, the conversation keeps returning to the same uncomfortable question: what did engineering actually deliver for the business this quarter?
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civo

What are the benefits of decentralized AI infrastructure?

May 14, 2026 By Ben Norris In Civo
Have you ever considered how you can utilize artificial intelligence (AI) without sacrificing control over your data and autonomy? As we continue to navigate the changes of AI in the 21st century, it is important to understand how decentralized AI infrastructure can empower individuals and organizations to harness the potential of AI while maintaining sovereignty over their data and decision-making processes.
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LLM Observability: Lessons From MLOps w/ Maria Vechtomova (Cauchy)

May 14, 2026 By Rootly In Rootly
For nine years, Maria Vechtomova was shouting about monitoring. Nobody cared, until LLMs arrived. As co-founder of Cauchy, Databricks MVP, and one of the most followed voices in MLOps, Maria has watched the field evolve from hand-built experiment trackers to today's flood of observability tools, and her central claim might surprise you: globally, nothing has changed. The fundamentals are the same: track your code, data, and models so you can roll back when something breaks.
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harness

Automated Release Management: From CABs to Continuous Delivery | Harness Blog

May 14, 2026 By Dewan Ahmed In Harness
The thing with Change Advisory Boards is that the intent was always good. Get smart people in a room, look at the evidence, and make sure nothing catastrophic goes out the door. In theory, that's hard to argue with. It doesn't scale in practice. Things happen between meetings. Teams rush to hit the window. The CAB meeting may not catch every risky deployment, but at least everyone can feel good about the process before the incident happens. Automated release management asks a different question entirely.
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AI Asked Our General Counsel Anything. She Didn't Hold Back.

May 14, 2026 By Harness In Harness
What happens when AI interviews a tech leader? You get unexpectedly honest answers. Harness General Counsel Hanna Steinbach sat down with ChatGPT — and skipped the corporate script. From the realities of parenting while leading a legal team at a high-growth startup, to the daily habits that keep her grounded, this is the kind of candid leadership perspective you rarely see. Oh, and she's definitely the person sprinting to the gate right as boarding starts.
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