The author argues that logs remain the worst part of observability after ten years in the field. Developers' expectations are set by early, flawless experiences with small systems, which don't scale to complex environments with many services, schema drift, and cross-team consumers.
Logs remain the hardest part of observability at scale, despite years of tooling evolution.
The article provides a hands-on guide to creating an AGENTS.md file, which instructs AI agents on how to interact with a codebase. It walks through building one step by step and demonstrates an agent using it. The guide aims to help developers standardize agent behavior and improve collaboration between humans and AI tools.
Stack Overflow announced the 2026 Developer Survey is now live. The survey invites developers to share insights on AI apps, tools, and practices. Results will inform the community about current trends and preferences in AI development.
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Developers using npm packages should verify package authenticity to avoid credential theft from supply chain attacks.
Enables developers to run advanced AI models locally, reducing cloud costs and improving data privacy.
Developers can now utilize FUSE-based filesystems within Vercel Sandbox for custom file system operations.
Developers can reduce AI inference costs by converting code to images for OCR-based processing.
Developers can build more effective multi-turn RL agents on SageMaker, reducing training time and improving model performance.
AWS ML Blog36h ago1mFREEAI conversation loss can erase development context, making AI-generated code harder to maintain.
Developers can build custom translation tools for specialized domains like book translation.
Highlights the unreliability of AI for precise tasks like calorie estimation from photos.