Article: The Self-Building Agent: A LangChain4j Experiment
The article discusses an experiment where a code assistant had to design an agentic system using LangChain4j documentation. The assistant created a co…
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AWS Continuum to Enable Agentic Code Security for Enterprises
Amazon Web Services has recently introduced AWS Continuum, a new integrated security platform to automate the discovery, enforcement, and remediation …
Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation
Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-based…
Slack Introduces Agent Driven End-to-End Testing to Improve Resilience in UI Test Automation
Agentic testing is an AI-driven approach to end-to-end test automation introduced by Slack engineering. It uses AI agents that execute workflows based…
Presentation: The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation
Itamar Friedman discusses how architects and engineering leaders can break through the AI productivity ceiling using adaptive multi-agent systems. He …
Presentation: AI Agents to Make Sense of Data at OpenAI
OpenAI’s Bonnie Xu discusses Kepler, an internal AI data analyst agent built to query 600+ petabytes of data. She explains how they overcome context w…
Presentation: Platform Teams Enabling AI - MCP/Multi-Agentic Tools Across Linkedin
LinkedIn’s Karthik Ramgopal and Prince Valluri discuss leveraging AI as a new execution model for large-scale engineering. They explain how to move be…
Benchmarking AI Agents on Kubernetes
Brandon Foley published a benchmarking study on the CNCF blog showing that AI coding agents can find and fix isolated bugs. However, they often strugg…