Rewrite README.md: coding_ai_agent developer documentation

[Copilot]

The existing README was titled ai-agent, verbose with redundant prose, and lacked an architectural diagram or structured format useful to a developer onboarding quickly.

Changes

• Retitled # ai-agent → # coding_ai_agent to match the repo name
• Replaced unstructured prose sections (Ownership, Overview, Project layout, Implementation notes, State table) with a scannable bullet-point structure:
  • Overview — 3-line problem/type/capability summary
  • Author / Ownership — architectural decisions, design ownership, experimentation rationale (temperature=0, MAX_ITERS, CHARACTER_LIMIT)
  • Core Idea — agent loop mechanics, prompt strategy, all 4 tools, working directory isolation, session-scoped state model
  • Architecture — Mermaid flowchart of the full agent loop (user → Gemini → tool dispatch → results → loop)
  • Setup / Usage / Testing — collapsed to CLI-ready one-liners
• Reduced from 170 lines to 75 lines with no loss of technical content

flowchart TD
    User --> Init --> Loop --> Gemini
    Gemini -->|function_calls present| Dispatch --> Tools --> Results --> Loop
    Gemini -->|no function_calls| Output

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Original prompt

You are a senior software engineer tasked with rewriting the README.md of this repository.

Your job is to produce a NEW version of the README for the project coding_ai_agent.

Before writing anything:

1. Read the current README.md.
2. Identify the core purpose of the project.
3. Preserve the original author's ownership and intent.
4. Extract only the essential technical facts.

Goal: produce a concise, developer-focused README that explains:

• what the project is
• why it exists
• how it works internally
• how to run and use it

Writing rules:

• Prioritize concision over grammar.
• Avoid marketing language.
• Prefer bullet points instead of paragraphs.
• Use technical terminology where appropriate.
• Remove redundant explanations.
• Assume the reader is a developer.

README structure must follow this format:

coding_ai_agent

Overview

Short 2–3 line description of the project.

Focus on:

• problem it solves
• type of agent
• main capability

Author / Ownership

Explain that the project is designed and implemented by the repository owner.
Highlight:

• architectural decisions
• system design ownership
• experimentation or research aspects if relevant

Core Idea

Bullet explanation of the architecture and reasoning behind the agent.

Example topics:

• agent loop
• prompt strategy
• tool integration
• memory/state handling
• code execution or generation flow

Architecture

Use Mermaid diagrams.

System architecture example:

flowchart TD
    User --> Prompt
    Prompt --> Agent
    Agent --> Tooling
    Tooling --> Execution
    Execution --> Output

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