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@anjali5 shared a link, 3 days, 17 hours ago

How to Fix Developer Productivity at 50+ Engineers

You ship a feature. It works. A week later, someone asks why it's not in staging yet, and you realize it's behind an infrastructure request that's still in review. The ticket isn't urgent enough to escalate. It's also not small enough to ignore. So it waits.

That's what a developer productivity problem feels like at 50 engineers.

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@laura_garcia shared a post, 3 days, 18 hours ago
Software Developer, RELIANOID

AI Reliability Engineering: The New Era of SRE

🤖 As AI becomes part of critical business operations, reliability is no longer just an infrastructure concern. From latency and model drift to observability and trust, AI workloads introduce a new set of challenges for modern SRE teams. In our latest article, we look at how reliability engineering i..

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@pluto_native started using tool Terraform , 6 days, 12 hours ago.
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@pluto_native started using tool Kubernetes , 6 days, 12 hours ago.
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@pluto_native started using tool Google Cloud Platform , 6 days, 12 hours ago.
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@pluto_native started using tool Amazon Web Services , 6 days, 12 hours ago.
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@eon01 shared a link, 6 days, 17 hours ago
Founder, FAUN.dev

A curated list of free AI models, APIs, and tools you can use without paying a cent.

Running AI shouldn't require a credit card. This list curates genuinely free models — open-weight models you can self-host, free API tiers from major providers, and tools to run everything locally.

A curated list of free AI models, APIs, and tools you can use without paying a cent.
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@eon01 added a new tool Unsloth , 6 days, 21 hours ago.
Dapr is an open source, portable distributed application runtime that provides building blocks for common microservice patterns such as service invocation, state management, pub/sub messaging, bindings, secrets, and actors. It runs as a sidecar alongside applications and integrates with Kubernetes, VMs, and local environments, abstracting underlying infrastructure and middleware without hiding them. Dapr fits at the application runtime layer, sitting between application code and platform services, and targets teams building cloud-native, event-driven systems that want portability and standardized patterns without adopting a full service mesh.