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@anjali5 shared a link, 5 days, 20 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, 5 days, 20 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 , 1 week, 1 day ago.
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@pluto_native started using tool Kubernetes , 1 week, 1 day ago.
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@pluto_native started using tool Google Cloud Platform , 1 week, 1 day ago.
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@pluto_native started using tool Amazon Web Services , 1 week, 1 day ago.
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@eon01 shared a link, 1 week, 1 day 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 , 1 week, 2 days ago.
Ollama is an open source tool for running large language models locally on your own machine. It packages model weights, configuration, and a runtime into a single binary with a simple CLI, letting developers pull and run models like Llama, Mistral, or Qwen with one command (`ollama run <model>`). It exposes an HTTP API compatible with parts of the OpenAI spec, which makes it easy to swap into existing tooling. Ollama is one of the most popular entry points for local LLM inference, particularly on macOS and Linux developer machines.