Optimizing Software Workflow: Exploring Fundamental Impacts in Technology
Software only has value when shipped; faster release cadence matters. Development, deployment, and operations require different thinking, metrics, a…
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Presentation: The Future of Engineering: Mindsets That Matter When Code Isn’t Enough
Ben Greene discusses how software engineers can adapt and thrive in an era of rapid AI code automation. Drawing on his startup experience, he explai…
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-bas…
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 bas…
GitHub Slashes Agent Workflow Token Spend up to 62% with Daily Audits and MCP Pruning
GitHub reports cutting token costs in agentic CI workflows by up to 62% by pruning unused MCP tools, swapping some MCP calls for gh CLI, and running…
Presentation: AI Native Engineering
Ian Thomas shares a case study on embracing AI-native engineering within Meta’s Reality Labs. He explains the "Assess and Grow" framework, a maturit…