Presentation: Building GenAI Platform at DoorDash
Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning from vendor-first setups to open-weights models...
Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning from vendor-first setups to open-weights models...
Uber has rebuilt major parts of the Uber Eats search pipeline, reporting a 50% reduction in end-to-end latency. Changes include Above-the-Fold measurement, reduced retrieval work, parallel hydration...
OpenAI announced a series of product and developer updates at DevDay 2026, including GPT-6.1 Sol, computer use for the Agents API, cloud-based Codex environments, a Decisions API, and new plugin...
QCon San Francisco 2026 will bring together practitioners from Airbnb, OpenAI, Netflix, Honeycomb, and other engineering organizations to share how they are building, operating, and evolving...
Docker has announced that it is bringing the Sandbox Kit Specification to the CNCF, aiming to make what an AI agent may access as portable as the agent itself. By Claudio Masolo
DigitalOcean recently launched DigitalOcean Managed Agents in public preview, offering a managed cloud infrastructure layer for AI agents with isolated microVM runtimes, governed tool access, and...
The panelists discuss how production operations are evolving with AI, turning operational data into actionable insights for incident response. They explain how automation and new architectural...
TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, has introduced Jev, a decision-making model that generates typed outputs rather than text. It evaluates inputs in parallel, providing...
Microsoft has made Azure Container Apps Express generally available alongside Container Apps Sandboxes, the microVM compute layer it runs on. Express skips environment provisioning and scales to...
A look at two InfoQ online certification cohorts covering security and privacy decisions in production AI systems and the verification needed when coding agents work in existing codebases. By...
Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD...
CodeScene has published a case study in which coding agents refactored 300,000 lines of C over three weeks for roughly $4,000 in tokens, verified by a frame-by-frame replay harness. The agents built...
Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combining no-code and code-based platforms, sidestepping...
AWS recently announced that Aurora DSQL now supports foreign key constraints, allowing applications to enforce referential integrity directly in the database, including CASCADE, SET NULL, and other...
Google has published benchmarks for GKE Pod snapshots, reporting up to 89% lower startup latency and a 70B model loading in 37 seconds. The feature checkpoints CPU and GPU memory through gVisor into...
Docker Cloud Sandboxes provide secure, hosted execution environments for running AI coding agents on Docker-managed infrastructure. Built on hardware-enforced microVM isolation, the platform provides...
Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedback loops, retrieval freshness, multi-stage...
Perplexity has migrated its search infrastructure from Amazon DynamoDB to CobbleDB, an internally developed key-value store in Rust. This change reduced latency and costs associated with handling...
AWS details how the latest Model Context Protocol specification removes protocol-level sessions, sticky-session requirements, and session storage for remote MCP servers. The change enables...
QCon AI New York has confirmed 23 sessions covering agent authorization, production guardrails, shared inference infrastructure, and the evaluation of AI systems after deployment. By Artenisa Chatziou