Your daily AI digest for developers — Sunday, March 15 2026
Simon Willison discusses agentic engineering patterns at the Pragmatic Summit, focusing on how autonomous agents can be effectively used in software development.
Garry Tan introduces 'gstack', an open-source toolkit that organizes AI-assisted coding into distinct workflows for planning, code review, QA, and shipping.
This article explores how AI can assist in detecting and fixing selector drift in Cypress CI, reducing the manual effort required to maintain test scripts.
Google DeepMind's research highlights the challenges of multi-agent networks, which can amplify errors significantly if not properly managed.
This tutorial demonstrates building workflows with Outlines and Pydantic to ensure type safety and schema constraints in LLM pipelines.
Anthropic's Claude now supports interactive applications, providing developers with new ways to visualize and interact with AI-generated data.
The article discusses security risks associated with AI-assisted coding, particularly focusing on vulnerabilities that can arise from AI-generated code.
Google Research introduces a Bayesian teaching method to improve the reasoning capabilities of large language models, enhancing their decision-making processes.
This guide details building a review analytics server using TypeScript, LLMs, and vector search to extract insights from app reviews efficiently.
This article argues for the simplicity and effectiveness of using shell scripts over complex graph databases for certain AI agent memory tasks.