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Objective: To create a detailed and reliable record of critical system actions for security analysis
and compliance.

Status: Passed

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Objective: Ensure all identifiers clearly express their purpose and intent, making code
self-documenting

Status: Passed

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Objective: Ensure comprehensive error handling that provides meaningful context and graceful
degradation

Status: Passed

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Objective: To prevent the leakage of sensitive system information through error messages while
providing sufficient detail for internal debugging.

Status: Passed

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Objective: To ensure logs are useful for debugging and auditing without exposing sensitive
information like PII, PHI, or cardholder data.

Status: Passed

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Objective: Ensure all data inputs are validated, sanitized, and handled securely to prevent
vulnerabilities

Status: Passed

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The manually created agents.md file will quickly become outdated. It is
recommended to create a script that automatically generates this file by
introspecting the source code to ensure the context provided to AI agents
remains accurate.

Examples:

# Eventuous - AI Agent Context

## Repository Overview

**Eventuous** is a production-grade Event Sourcing library for .NET that provides abstractions and implementations for building event-sourced systems following Domain-Driven Design (DDD) tactical patterns.

- **Primary Language:** C#
- **Target Frameworks:** .NET 10, 9, and 8
- **License:** Apache 2.0
- **Copyright:** Eventuous HQ OÜ

 ... (clipped 336 lines)

Solution Walkthrough:

Before:

# agents.md (Manual creation)

# Eventuous - AI Agent Context

## Project Structure
eventuous/
├── src/
│   ├── Core/
│   │   ├── src/
│   │   │   ├── Eventuous.Domain/
... (content is manually written and maintained)

## Core Concepts
### 1. Aggregates
**Location:** `src/Core/src/Eventuous.Domain/Aggregate.cs`
```csharp
public abstract class Aggregate<T> where T : State<T>, new()

#### After:
```markdown
# build_context_script.py (Conceptual)

def get_project_structure():
    # Use `tree` or `os.walk` to generate directory listing
    return ...

def get_core_concepts():
    # Use AST parsing or regex on source files
    # to find key classes like 'Aggregate' and get their signatures.
    return ...

def generate_markdown_file():
    structure = get_project_structure()
    concepts = get_core_concepts()
    # ... gather other info automatically

    # Render a template with the collected data
    render_template("agents.md.jinja", structure, concepts)

generate_markdown_file()

Correct the PostgreSQL package name from Eventuous.Postgresql to
Eventuous.Postgres in the "Key Packages" table for consistency with the project
structure.

agents.md [201-202]

-| `Eventuous.Postgresql`                | PostgreSQL support                    |
+| `Eventuous.Postgres`                  | PostgreSQL support                    |
 | `Eventuous.SqlServer`                 | SQL Server support                    |

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