#Agent Loops
593 related articles
·4 min
Self-Healing Agent Loops: Using AI to Automatically Discover and Fix Programming Language Bugs
How Boundary built a self-healing AI Agent loop that automatically writes BAML code, discovers bugs, and generates fix PRs — a practical software factory with deduplication, human-in-the-loop leverage points, and extensible multi-loop design.
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·3 min
The Complete Guide to Looping Engineering: Building Efficient Agent Loops from Scratch
A deep dive into Looping Engineering — covering the five core loop elements (Trigger, Goal, Judgment, Feedback, Memory), when to use loops, and a step-by-step guide to building a topic-selection loop with Claude Code.
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·1 min
Agentic Coding in Practice: Test Feedback Loops, LLM Benchmarks, and an Engineering Adoption Guide
An in-depth look at agentic coding: how test-driven loops enable AI self-correction, the real limits of LLM benchmarks, and key engineering lessons on context management and human-AI collaboration.
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·4 min
TigrimOSR: An Open-Source Agent Framework in Rust with Configurable Agent Loops
TigrimOSR is an open-source multi-agent system written in Rust, supporting full agent loop definition via YAML config files with only 250MB memory usage. A deep dive into Loop Engineering, Rust advantages, and self-hosted Agentic AI.
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·3 min
AI Agent Core Principles Fully Explained: Decision Loops and the Three Key Components in Practice
A deep dive into AI Agent core principles: the Perceive-Plan-Act-Observe decision loop, plus Planning, Memory, and Tools — the three key components explained with practical examples.
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·3 min
Loop Engineering Explained: An Engineering Approach to Making AI Coding Agents Run Autonomously in Loops
A deep dive into Loop Engineering and the Rhythmic framework: how closed-loop systems replace repetitive prompting to enable autonomous AI coding agents with state management and budget control.
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·3 min
AI Agent Loops in Practice: Four PRs Auto-Merged While I Slept
From manual AI prompting to building automated loops — let Agents prompt, review, and merge code themselves. A real-world case: one message triggers four PRs auto-reviewed and merged overnight.
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·2 min
Qwen3-Coder Deep Dive: A Coding Model Built for Long-Horizon Agent Loops
Deep dive into Qwen3-Coder: 11 hours continuous operation, 10K+ lines of code, 1000+ calls. Explore its long-horizon agent loop architecture, reasoning persistence, thinking mode switching, and deployment on Fireworks.
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·2 min
Replit's AI Loops Workflow Explained: Multi-Agent Collaboration Replaces Prompt Engineering
Deep dive into Replit's AI Loops workflow: how orchestrators, parallel agents, and Computer Use Verifiers build automated closed-loop systems through multi-agent collaboration.
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·3 min
Codex Loop Patterns: The Paradigm Shift of AI Agents from One-Shot Tasks to Continuous Loops
Deep dive into Boris Cherny's AI agent loop patterns: loop workflow elements, loop contracts, four practical loops (PR Babysitter, CI Health, Deploy Verification, Feedback Clustering), and failure prevention strategies.
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·4 min
Feedback Loops in Coding Agents: How Failure Becomes Fuel for Fixes
Deep dive into coding Agent feedback loops: how AI tools turn errors and test failures into correction signals. Covers context management, root cause analysis, death loop avoidance, and more.
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Research·2 min
Agent Loops in Practice: Transforming Token Output into Productivity from CUDA Kernels to Automated Research
Deep dive into how the Humanize framework transforms LLM tokens into engineering productivity via Agent Loops. Covers KDA winning CUDA kernel contests, virtual hardware optimization, and 50% research cost reduction.
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Tech Frontiers·1 min
SGLang Hosts Agent Loops Office Hour, Focusing on Agentic Loop Architecture Optimization
SGLang team hosts an Agent Loops Office Hour exploring inference optimization for agentic loops, covering KV Cache reuse, low-latency multi-turn dialogue, and tool calling techniques.
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·4 min
Infrastructure Architecture for Agent Applications: Four Core Patterns Explained
A deep dive into infrastructure architecture patterns for production-grade Agent applications, covering state persistence, sandbox isolation, LLM observability, and cost control.
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·4 min
Infrastructure Architecture for Agent Applications: Four Core Patterns Explained
Deep dive into infrastructure architecture patterns for production-grade Agent applications, covering state persistence, sandbox isolation, LLM observability, and cost control.
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·3 min
Complete Guide to Running Claude Code with Ollama: API Error Troubleshooting & Local Model Optimization
Guide to running Claude Code via Ollama locally: troubleshooting API errors, output token limits, model freezes, with model selection, parameter tuning, and alternative tool recommendations.
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·3 min
Starling Project Analysis: Can AI Independently Write a Complete Desktop System?
Starling claims to be the first desktop system written by AI. This article analyzes technical complexity, AI coding limitations, and engineering feasibility.
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·4 min
Pure Vibecoding Builds a 130+ Card Multiplayer CCG: Full AI Tech Stack Breakdown
An indie dev built a 130+ card multiplayer CCG entirely through vibecoding with Claude Code, GPT, and ElevenLabs. Full AI tech stack breakdown and analysis of vibecoding's capabilities and limits.
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·4 min
11-Node LangGraph in Practice: Complete Architecture Breakdown of a Compliance-Grade RAG Agent
Deep dive into an 11-node Agentic RAG agent built with LangGraph, featuring 6-way intelligent routing, hallucination guards, PII masking, circuit breakers, and zero-cost deployment.
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·3 min
Lessons from Claude Code's 80% Prompt Reduction: Less Is More in Prompt Engineering
Anthropic cut Claude Code's system prompt by 80% and got better performance. Learn why verbose prompts hurt, how to streamline them, and key takeaways for AI developers.
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