Replicate Programming Tutorials & Engineering Articles

To prevent context window bloat and reduce token consumption, Genkit Go introduces Agent Skills based on a progressive disclosure architecture. Developers can package specialized instructions, scripts, and references into modular SKILL.md bundles where only the frontmatter metadata is initially exposed to the agent's system prompt. When a task matches the skill's description, Genkit's middleware dynamically loads the full instruction body and associated assets, ensuring the model accesses precise workflows exactly when needed.

The provided workflow streamlines motion-controlled game development by using Gemini Canvas to rapidly prototype mechanics like the MediaPipe Pose Landmarker through high-level prompting. Developers can refine these prototypes in Google AI Studio by optimizing for low-latency "lite" models and stable tracking points, such as shoulder landmarks, to ensure responsive gameplay. The process concludes by using Gemini Code Assist to refactor experimental code into a modular, production-ready application capable of supporting various multimodal inputs.

Here’s how we made the search experience better, faster, and more resilient for GHES customers.

The article discusses the launch of NVIDIA's new Nemotron models designed for developing specialized AI agents that integrate language and vision capabilities.

The article discusses the challenges of training perception models for autonomous vehicles due to high GPU memory requirements and presents a solution using tensor parallelism in CNN training.

The article discusses the development of Ixia, a scalable near-real-time secondary indexing solution built on HBase at Pinterest.

The article discusses the advancements in Neural Machine Translation (NMT) inference using TensorRT 4, NVIDIA's inference accelerator.

The article discusses shader intrinsics, specifically warp shuffle and warp vote intrinsics, which allow threads in a warp to communicate efficiently without using shared memory.

The article discusses how Pinterest engineers addressed the challenge of serving configuration data at scale with high availability.

The article discusses the significant performance improvements in Hadoop through the introduction of HadoopDB, which can enhance data analytics tasks by up to 1000 times.