Docker vs SGLang

Docker Launches Cloud Sandboxes, Extending Secure AI Agent Isolation Beyond the Laptop

Docker, Inc.®, the trusted platform for building software in the agentic era, today announced Docker Cloud Sandboxes, a new solution for secure, isolated AI agent execution that enables complex agentic workflows to continue running in the cloud long after a developer's laptop shuts down.

GLM-5.3 Sparse Attention Impact on DRAM Memory TAM

This article analyzes the impact of sparse attention mechanisms, specifically DeepSeek Sparse Attention (DSA) used in Z.ai's GLM-5.3 model, on the total addressable market (TAM) for DRAM memory, including HBM and NAND. It explains that while sparse attention reduces KV cache memory and bandwidth during the attention operation, it does not reduce overall memory capacity requirements because the top-k selection still requires full context in HBM. The article discusses system optimizations like HiSparse, which offloads KV cache to host DRAM to overcome capacity bottlenecks. It also provides detailed performance and cost comparisons for serving GLM-5.3 on different hardware (GB200, GB300, MI355X) using inference engines like Dynamo-SGLang, Dynamo-TRT-LLM, and ATOM, highlighting cost-efficiency and interactivity trade-offs. The analysis includes a deep dive into GLM-5's architecture, including the lightning indexer, MLA configuration, and post-training pipeline.

• GLM-5.3 uses DeepSeek Sparse Attention (DSA) with a lightning indexer for top-k token selection.
• Sparse attention does not reduce overall memory capacity usage due to the need for full context in HBM.
• HiSparse, a hierarchical memory system, offloads KV cache to host DRAM to improve throughput at high concurrency.

GitHub Copilot for C# Developers: Setup, Techniques, and Tradeoffs

This technical blog post provides a comprehensive guide to using GitHub Copilot in C# development environments, covering setup in VS Code and Visual Studio, and explaining the three distinct tools: inline suggestions, Copilot Chat, and Agent Mode. It offers practical techniques to improve suggestion quality, such as writing clear comments and using descriptive naming. The author evaluates both pros, like speed on boilerplate code and learning aid, and cons, including over-reliance, confidently wrong suggestions, and SQL injection risks when patterns from existing code are reflected. The post emphasizes critical review of generated code and provides strategies for using Copilot effectively in coding interviews. It concludes that the real skill is reading generated code critically, not just generating it quickly.

• GitHub Copilot includes inline suggestions, Chat, and Agent Mode.
• Setup requires installing the GitHub Copilot extension in VS Code or Visual Studio.
• Techniques like clear comments and descriptive naming improve suggestion quality.

Cloud Run Sandboxes Enable Sub-Second Python in Google Apps Script

This developer article introduces a new architecture that connects Google Apps Script (GAS) with Google Cloud Run Sandboxes, which use gVisor micro-virtualization, to enable deterministic sub-second execution of Python and Bash scripts directly from Google Workspace. The solution overcomes GAS's standard limits (6-minute timeout, V8 JS only) by offloading compute to a Cloud Run Gen2 service that runs code in an isolated gVisor sandbox. The author provides an open-source implementation (GitHub repository) and documents an 8-axis test suite that verifies security properties like SSRF protection, environment variable isolation, read-only filesystem, and network egress blocking. Practical use cases include rendering Seaborn heatmaps from spreadsheet data directly into Google Sheets, with latencies of 200-450 ms. The article also compares this approach to Gemini Managed Agents, highlighting trade-offs in latency, cost, and persistence. The architecture leverages Google Cloud's free tier to minimize costs, with scale-to-zero when idle.

• Cloud Run Sandboxes use gVisor to execute arbitrary Python and Bash code in 200-450 ms from Google Apps Script via REST calls.
• The proposed architecture blocks SSRF to metadata server, masks host environment variables, enforces read-only filesystem, and forbids network egress by default.
• An 8-axis test suite verified 100% pass rate for security and functionality, including crash resistance and infinite loop handling.