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@anjali5 shared a link, 5 days, 12 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, 12 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, 1 day ago.
Detect Secrets, created by Yelp Engineering, is a Python-based secret scanner designed for large, complex codebases. It uses a plugin architecture to detect high-risk secrets such as API keys, tokens, passwords, and certificates. The tool focuses on false-positive reduction by hashing baseline fingerprints, allowing teams to track only new or changed exposures over time. It integrates with CI pipelines, pre-commit hooks, and enterprise security workflows. Its extensible design and strong baseline mechanism make it popular in large engineering organizations that need scalable, low-noise secret detection.