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A preview of the 15-track QCon London 2027 program, covering agent evaluation and guardrails, AI-era architecture, distributed-system debugging, modern data platforms, high-performance engineering, and Staff+ leadership. By Artenisa Chatziou
Akka used 65 open-source projects to examine how specification structure, context, model selection, automated validation, and delivery guardrails affect AI assisted software porting.
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balancing LLM-as-a-judge with deterministic rules, bridging Python data science evals with TypeScript production code, and implementing deep tracing to…
In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one.
A team of developers working at AWS recently open-sourced Pizza Bot, a self-hosted application designed to let AI agents run tasks in the background and return results through an inbox-style interface.
Archestra released OpenAPPA, an open-source security engine designed to stop data exfiltration caused by prompt injection or model hallucination. The team reports zero successful attacks when running security benchmarks Bench-Corp (20 multi-step enterprise workflows) and AgentThreatBench, versus…
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, navigating LLM and agent gateways, and balancing accuracy, latency, and cost for over 5,000 internal…
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, advertising data redesign, infrastructure optimizations, and an agentic coding workflow.
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 capabilities for ChatGPT. By Daniel Dominguez
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 production systems as AI agents take on a larger role. By Artenisa Chatziou
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 serverless AI inference. By Sergio De Simone
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
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 practices help engineering teams build more understandable systems, while exploring how AI reshapes…
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 results with probabilistic scores and confidence values.
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 zero, with subsecond startup from prewarmed pools.
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 Artenisa Chatziou
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, package managers, and security scanning - enables engineering leaders to reliably scale AI coding…
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 a playbook of codebase-specific recipes along the way.
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