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Why we stopped using an automated SRE agent

https://blog.neatcontext.com/operations/2026/07/12/why-we-stopped-using-an-automated-sre-agent/
1•tanglearncode•1h ago

Comments

tanglearncode•1h ago
Some lessons learned when using the SRE agents to handle incidents. We eventually ended up to a semi automation way to get more accurate LLM results by providing domain knowledge and context to LLM. Wondering if you encountered the similar inaccurate or sometimes nonsense response from SRE agents. How would you solve it?
syntax-sailor•56m ago
It's about the hardest agentic problem that has measurable results and will be adopted (because it's an engineering culture) that I can think of. RunWare have some good insights on this - much of the problem is context layer improvisation and repetition, and the only way out is an awful lot of diagnostic development.

And anything less than 90% accuracy on causal analysis is more work than doing everything by hand.

The fine print that follows you out the door: non-compete clauses

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1•hhs•44s ago•0 comments

G#: A modern .NET language with Go, Kotlin, and Swift ergonomics

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AI and Job Postings: From Destruction to Creation?

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2•petilon•11m ago•0 comments

ContextOps, an ESLint-like static analyzer for LLM context

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Stop Telling Me to Ask an LLM

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10•theorchid•19m ago•6 comments

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Modern Implementation of Notational Velocity

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AI found a secret computer bug hidden for 15 years.

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Gates Heir's Shopping App Claimed Sales It Didn't Drive

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5•imichael•1h ago•0 comments

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1•gdss•1h ago•0 comments

Why we stopped using an automated SRE agent

https://blog.neatcontext.com/operations/2026/07/12/why-we-stopped-using-an-automated-sre-agent/
1•tanglearncode•1h ago•2 comments

Remembering Disney Legend Don Iwerks

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Cleanplanet

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Postgres Makes Transactions Atomic

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1•gurjeet•1h ago•0 comments