43 stories
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.
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…
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.
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.
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 complex RAG setups, and aligning security and legal teams to accelerate internal agent adoption…
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 referential actions.
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 a consistent execution environment and unified CLI workflows for seamlessly moving workloads from…
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 orchestration, and end-to-end latency budgeting enable systems to continuously learn and evolve in…
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 large document batches.
In this episode, Meryem Arik, Clara Higuera Cabañes, and Jeff Smith demystify the current state of AI in the enterprise. The discussion navigates the "industrial revolution" moment in AI adoption, exploring why companies are rushing toward these technologies to maintain competitive advantages while…
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