Julio Pessan·2h agoThe Agent Loop Is the Real Bottleneck: An Architect’s Checklist for the Microsoft Copilot HarnessThe Microsoft Copilot harness in Foundry Agent Service removes the hardest part of building agents. An architect’s checklist for deciding…
Mukesh Bhootra·7h agoPrompt Engineering in Production: Versioning, Testing and Rollback In production a prompt is code. Learn how to version, test and roll back LLM prompts, with Spring Boot examples and a simple test setup.
Brian Nuesi·11h agoWhy Most AI Agents Fail in Production (and the Unsexy Fixes That Work)Gartner’s cancellation forecast, CMU’s office-task scores and production telemetry all point the same way: scoped jobs, evals and owners…
Navaneethan L·21h agoEvaluation Engineering: Building Evals That Actually WorkMost AI teams have evals. Most AI teams’ evals do not work.A response icon1A response icon1
Erwin Hermanto·1d agoAuditing LLM Decisions: Logging Prompts and Responses for ComplianceThree weeks after we pushed an LLM-powered underwriting assistant to production, our compliance team asked a question I wasn’t ready for…
Ali Nasir·2d agoThe AI Job That Never Finished: Why Enterprise AI Needs Recoverable WorkflowsYour model can extract the right information, generate the right answer, and still fail the business. The missing engineering discipline is…
Eric Bolme·2d agoPinned for Now, Paid for Later: Why Older and Custom Agents Pile Up.Customer-specific versions in agentic SaaS, and how to deal with them.
Talha Anwar·5d agoLLM Monitoring: What to Measure When a Bad Answer Still Returns HTTP 200An LLM feature can show a 0% error rate while users get replies that are cut off, empty or not valid JSON. The model provider returns HTTP…
Ka Ling Wu·6d agoContext That Ships Together Stays TogetherPrompts, skills, data models and examples drift apart when they live in different places. Why an agent should ship as one release.A response icon1A response icon1
Rozêra·6d agoYour RAG System May Trust the Wrong Documents: The Case for Provenance-Aware SecurityRecent poisoning research suggests that what a document says is a weak basis for trusting it. Where it came from may be a stronger one…A response icon1A response icon1
