Akka Tests Spec-Driven AI Delivery Across 65 Open Source Projects
Akka used 65 open-source projects to examine how specification structure, context, model selection, automated validation, and delivery guardrails af…
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DoorDash Uses Multi Agent LLMs to Clean up 60,000 Feature Flags
DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow comb…
Presentation: SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Bruna Pereira explains how DoorDash built a content-agnostic AI moderation platform. She covers replacing costly LLM-only pipelines with a hybrid pa…
Cloudflare Cuts Astro Github Issues by 85% with AI Agents
Cloudflare, Astro, AI agents, GitHub Actions, issue triage, agentic AI, software architecture, open source, developer tools, AI automation, automate…
Presentation: From Fab To Token - The State Of The Market
Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing fro…
AlloyDB Ships Proxy Models That Replace LLM Calls with Local Inference Inside the Database
Google shipped AlloyDB AI functions GA with a proxy model architecture that trains a lightweight local model from LLM outputs, then runs queries at…
AWS Launches Blocks, an Open-Source TypeScript Framework Designed for AI Agents to Build Backends
AWS released Blocks in public preview, an open-source TypeScript framework where each Block bundles application code, local mocks, and AWS infrastru…
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…