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Founded in 2008, Stack Overflow’s public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers.
Founded in 2008, Stack Overflow’s public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers.
AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers, orchestration...
Qlik built Qlik Answers on Amazon Bedrock to give its 40,000+ customers grounded, sourced answers across structured and unstructured enterprise data. Learn how a layered, multi-agent architecture with cross-Region inference and Amazon Bedrock Guardrails delivers trusted AI at global scale.
AWS DevOps Agent can diagnose production incidents but is kept in observe-and-report mode so it does not change resources directly. This post shows how to use AWS Lambda Durable Functions, Amazon EventBridge, and Amazon Bedrock to turn its investigation summaries into pre-validated fixes an on-call…
On October 14, InfoQ hosts a free 60-minute panel with five practitioners on running AI in production. They'll discuss agent autonomy and human approval, how to verify AI-generated changes, sensitive-data exposure, and production RAG. Registrants can submit questions and will receive the recording.
Six patterns from 12 production AI agents at JPMorgan Chase, Airbnb, Apollo.io, Vercel, LinkedIn and more: skills, planners, human review, evals, small teams.
Plan, draft, review and translate blogs with context. A multilingual editorial workflow for keeping source articles and language versions current.
Coworker AI explains Glean MCP: the tools Glean's remote MCP server exposes, the AI clients it supports, how to set it up, and how it compares to Coworker MCP.
When LLMs sometimes agree with incorrect claims, it is mostly because their training rewards such behaviour. This reward system is built on several things at once, such as accuracy, helpfulness, politeness, and responses that people like.
Many teams now use LLM-as-a-Judge to check AI answers, especially when exact-match tests fail for long or open-ended responses. But every judgement adds cost, delay, and possible bias, making this hard to scale.
In this article, you will learn how synchronous and asynchronous execution patterns differ architecturally, and how to choose between them when deploying LLM-based agents to...
Learn how AI research agents plan searches, evaluate evidence, synthesize findings, and produce cited reports with human review.
2026 RevOps playbook: start with a data audit, insist on explainable governed AI, and run a 6–12 week pilot to stop forecast surprises.
A chatbot threat model for support bots with actions: STRIDE, prompt injection and AI-driven attackers, with a worked example.
A personal AI agent is useful because it can read your private data, read content written by other people, and act on your behalf. A prompt injection attack depends on those same three abilities.
Enterprises pushing AI agents into production are finding that cyber resilience now depends as much on governing what autonomous software does with data as on keeping attackers out.
Most AI coding demos stop at task managers, weather apps, or simple chatbots. For this project, we take on something more demanding: building an enterprise customer-support platform that can investigate complaints, retrieve relevant policies, recommend resolutions, and keep risky actions behind…
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