#coding-agents
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The Shift in Software Engineering: AI Agents and Production Risk
AI agents have fundamentally transformed software development in six months, enabling massive increases in code output. However, this shift risks quality and security when organizations prioritize AI adoption over core engineering rigor, as evidenced by recent high-profile outages.
Building and Auditing Local Coding Agents
A practical guide to setting up a local coding agent stack using Ollama and open-weight models, emphasizing performance benchmarking, secure auditing of agent harnesses, and the trade-offs of running local vs. proprietary infrastructure.
GLM-5.2: A New Benchmark for Open-Weight Agentic Coding
GLM-5.2 marks a pivotal shift in the open-weight landscape, offering the first credible, high-performance alternative to frontier closed models like Claude Opus for complex agentic coding tasks.
Porting PyTorch Models to the Browser with Claude Code
By leveraging Claude Code to convert PyTorch models to ONNX, developers can run sophisticated AI features like image inpainting directly in the browser using WebGPU and the CacheStorage API.
Optimizing Software Workflows with AI Code Review
AI code review accelerates development by automating static and dynamic analysis, but it requires human oversight to manage context, mitigate false positives, and ensure architectural alignment.
Building Full-Stack Apps with AI Sub-Agents
Google Antigravity uses voice-prompted sub-agents to orchestrate complex full-stack development, leveraging specialized guidance and MCP tools to build, test, and deploy multilingual applications.
Google Cloud TechOmio's Shift to AI-Native Travel and Operations
Omio transformed its travel booking platform and internal development workflows by integrating OpenAI models, resulting in a 5x increase in development speed and a shift toward conversational commerce.
Optimizing Coding Agent Context via Multi-Rubric Latent Reasoning
This paper introduces a method for improving coding agent performance by using multi-rubric latent reasoning to prune irrelevant context, reducing noise in large codebases.
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