SDET·Oct 24Improving AI Agent Reasoning with In-Context Learning (ICL)In-context learning means the model picks up a new behavior from what’s in its prompt (examples, demonstrations, feedback, retrieved…
Reetesh Kumar·Oct 12How the AI Agent Loop Works: Inside the Architecture That Makes AI Agents AutonomousIntroduction: From Chatbots to Autonomous AI Agents
Mojtaba (MJ) Michael·Oct 11LangGraph vs Raw Python Agent Loops: When Orchestration Frameworks Pay Off in 2026In LangGraph vs raw Python agent loops, the question is whether to manage the agent loop by hand or reach for an orchestration framework…
InJIN System ArchitectbyJIN·Oct 4Agent Loops Are Not while (true): Pi, Pi Durable, and DeepSeek Harness on Continuation, Closure…Agent LoopsA response icon1A response icon1
Hebert Barros·Sep 25Introducing loopkeel: A Resilient Rust CLI for Agentic Work LoopsIf you’ve spent any time driving Claude Code, Codex, or Cursor through a multi-step task, you know the pattern: plan, execute, validate…
InLevel Up CodingbyJohn Vester·Sep 23Agentic Test Creation: From Plain-Language Requirements to End-to-End Test CasesThroughout my career, I’ve watched sprints stall in the same place. Everything was going fine: the features were merged, the requirements…A response icon1A response icon1
InJIN System ArchitectbyJIN·Sep 5DeepSeek Harness: What Actually Got Redesigned Isn’t the Agent Loop — It’s Everything Around ItDeepSeekA response icon1A response icon1