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Curated links from external sources — not 360Softy original articles.

ExternalSoftware Engineering
DEV Community

I Accidentally Built an AI Employee Out of Scripts and Bad Sleep Habits

The kitchen table had become infrastructure without anyone formally deciding it should. Two laptops sat open because one had quietly developed thermal problems months earlier and now worked better when left mostly alone. There was dust trapped under keycaps, tangled USB cables wrapped around a cheap mouse, and a notebook filled with diagrams that looked increasingly less like project planning and more like someone mapping utility lines under a city. The apartment was warm in the way apartments g

aiprogrammingproductivity
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ExternalSoftware Engineering
DEV Community

Stop Chasing Shiny Tools: A Minimalist AI Stack That Actually Makes You Money

There is a folder on my desktop called new-tools. It should not exist. Inside: abandoned browser extensions, cloned repositories, AI wrappers I swore would change everything, free trials that expired quietly in the night, and at least three note taking apps that promised to become my “second brain” before immediately developing amnesia. The folder is a graveyard with rounded corners and modern branding. Meanwhile, the systems that actually make money for me are boring. Not ugly boring. Useful bo

aiprogrammingproductivity
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ExternalAI
NVIDIA Technical Blog

NVIDIA Dynamo Snapshot: Fast Startup for Inference Workloads on Kubernetes

The cold-start problem In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However,... In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However, cold-starting inference workloads on Kubernetes can take several minutes. During that time, GPUs are allocated but idle, generating no tokens and serving no requests. This delay increases the risk of service level agreemen

NVIDIA Technical BlogRead original
ExternalSoftware Engineering
DEV Community

Day 7 of trying to get 20 paying customers in 40 days. Currently at 0.

Going to post this publicly because it forces me to be honest with myself. What I'm building: an AI visibility tool for B2B SaaS. Shows you which competitors AI assistants are recommending in your place, then generates the corrective content to close each gap. A week in and honestly the picture is mixed. Scan-based cold emails where I include the prospect's real numbers in the pitch. Don't have open-rate data yet because I only turned tracking on this week (lesson learned), but a few of the repl

startupbuildinpublicmarketing
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ExternalSoftware Engineering
DEV Community

How We Blew Up Our Event Pipeline at 3 AM Because the Treasure Hunt Engine Had No Clear Operator Bounds

The Problem We Were Actually Solving We had built the Treasure Hunt Engine to power in-game treasure hunts that reward players for exploring content. At 100 000 active players it felt fast. At 500 000 it started to stutter. The operator documentation told teams to set max_reindexing_concurrency = 2 and warned against full table scans. No one listened when the game grew faster than the docs. The real problem wasnt the engines speed; it was the lack of an explicit operator boundary. We had impli

webdevprogrammingarchitecture
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