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open-source.

113 writings found

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Building Custom Metrics Exporters for Kubernetes Autoscaling

Learn how to write Prometheus exporters from scratch to expose application-specific metrics that drive intelligent Kubernetes autoscaling decisions beyond CPU and memory.

Grabette: Making Robot Learning Data Collection Accessible

An open-source handheld gripper system that lets anyone record manipulation demonstrations for robot training, democratizing data collection beyond expensive labs.

Chinese AI Models Are No Longer a Surprise

DeepSeek wasn't an outlier. Moonshot and Alibaba's new models signal China's AI capabilities have matured. What this means for developers and the market.

Open Source Just Hit $100M in Funding. What It Means for Developers

GitHub Sponsors crossed $100 million in contributions to open source maintainers. Here's why this milestone matters and what it signals about the future of sustainable OSS.

NVIDIA NeMo Automodel: Production-Grade Diffusion Training for Everyone

NVIDIA and Hugging Face collaborate on distributed diffusion training that scales from one GPU to hundreds, with zero checkpoint conversion and native Diffusers support.

NeMo Automodel Brings Production Diffusion Training to Everyone

NVIDIA and Hugging Face collaborate to make distributed diffusion model training accessible, scalable, and checkpoint-compatible for any model on the Hub.

China's Kimi K3 Forces Western AI to Confront Open Source Reality

Moonshot AI's latest model release reignites debate about open-weight models, Chinese competition, and whether regulatory fear-mongering can stop progress.

NeMo Automodel brings production diffusion training to Hugging Face

NVIDIA and Hugging Face collaborate to make distributed diffusion model training accessible, scalable, and checkpoint-conversion-free for any Diffusers model.

Building Custom Prometheus Exporters for Real-World Kubernetes Scaling

CPU and memory metrics aren't enough. Learn how to build custom Prometheus exporters that expose queue depth, connections, and application signals to drive intelligent autoscaling.

Building Custom Metrics Exporters for Kubernetes Autoscaling

Learn how to bridge the gap between application state and Kubernetes scaling decisions by writing a Prometheus metrics exporter from scratch.

Why Your Laptop Just Became Production for AI Agents

AI agents are reshaping the SDLC. Runtime isolation, governance, and the three-layer security model are now table stakes for shipping safely.

Your Laptop Is the New Prod: AI Agents and Runtime Governance

AI agents don't just suggest code anymore. They act. Here's why runtime governance is becoming the most important infrastructure conversation in 2025.

How GitHub Cut Copilot Review Cost 20% by Fixing Agent Instructions

GitHub's Copilot code review team found that swapping tools wasn't enough. Rewriting agent instructions around reviewer workflows cut costs by 20%.

etcd v3.7.0 Released: RangeStream, v2 Store Removal and More

etcd v3.7.0 ships RangeStream RPCs, drops the legacy v2 store bootstrap, overhauls protobuf deps, and brings real CPU savings for Kubernetes clusters.

How GitHub Cut Copilot Review Cost 20% by Rewriting Tool Instructions

GitHub's Copilot code review team found that swapping tools wasn't enough. Rewriting agent instructions around pull request workflows cut costs by 20%.

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