社区文章

来自 awesome-agentic-patterns 的扩展阅读,每篇文章包含 Problem / Solution / How to use / Trade-offs 完整内容。

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17
Context & Memory
13
Feedback Loops
7
Learning & Adaptation
42
Orchestration & Control
16
Reliability & Eval
5
Security & Safety
23
Tool Use & Environment
15
UX & Collaboration

最新文章

UX & Collaboration

Abstracted Code Representation for Review

Reviewing large volumes of AI-generated code line-by-line can be tedious, error-prone, and inefficient. Human reviewers are often more interested in v

Reliability & Eval

Action Caching & Replay Pattern

LLM-based agent execution is expensive (both in costs and latency) and non-deterministic. Running the same workflow multiple times yields different re

Orchestration & Control

Action-Selector Pattern

Untrusted input can hijack an agent's reasoning once tool feedback re-enters the context window, leading to arbitrary, harmful actions.

Reliability & Eval

Adaptive Sandbox Fan-Out Controller

Parallel sandboxes are intoxicating: you can spawn 10... 100... 1000 runs. But two things break quickly: 1. **Diminishing returns:** After some N, yo

UX & Collaboration

Agent-Assisted Scaffolding

Starting a new feature, module, or codebase often involves writing a significant amount of boilerplate or foundational code. This can be time-consumin

Orchestration & Control

Agent-Driven Research

Traditional research methods often lack the ability to adapt search strategies based on emerging results, limiting efficiency and potential discoverie

Tool Use & Environment

Agent-First Tooling and Logging

Most developer tools, CLIs, and application logs are designed for human consumption. They use color-coded, multi-line, or summarized outputs that are

UX & Collaboration

Agent-Friendly Workflow Design

Simply providing an AI agent with a task is often not enough for optimal performance. If workflows are too rigid, or if humans micromanage the agent's

Orchestration & Control

Agent Modes by Model Personality

Different AI models have fundamentally different personalities and working styles. Treating all models the same—expecting them to work identically—lea

Context & Memory

Agent-Powered Codebase Q&A / Onboarding

Understanding a large or unfamiliar codebase can be a significant challenge for developers, especially when onboarding to a new project or trying to d

Learning & Adaptation

Agent Reinforcement Fine-Tuning (Agent RFT)

After optimizing prompts and task design, agents may still underperform on your specific business tasks because: - **Domain shift**: Your tools and b

Tool Use & Environment

Agent SDK for Programmatic Control

Interactive terminal or chat interfaces are suitable for many agent tasks, but not for all. Integrating agent capabilities into automated workflows (e