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se-agent-native-architecture

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Agent-native apps: loop to outcomes.

Software Engineering#architecture#prompts#tools#parity#context-injection#agent-native
Authorsimonwjackson
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Software architecture for building applications where agents are first-class citizens, orchestrating work in AI-enabled loops using atomic tools to achieve outcomes with minimal hard-coded workflows.

Core Features & Use Cases

  • Parity: UI actions have corresponding agent tools, enabling seamless handoff between human and agent.
  • Granularity and Composability: Primitives are atomic; features are descriptions in prompts that compose into complex tasks.
  • Context and Shared Workspace: Dynamic context injection and a single shared data space enable continuous learning and collaboration.
  • Use Cases: Designing autonomous agents, MCP tools, self-modifying systems, and loop-based automation in production workloads.

Quick Start

Define atomic tools, write a guiding system prompt, and run an agent loop that iterates until the task is complete.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: se-agent-native-architecture
Download link: https://github.com/simonwjackson/pi-software-engineering/archive/main.zip#se-agent-native-architecture

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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