Configuration Options Available in config.py for the Hiring Agent

The config.py module in the interviewstreet/hiring-agent repository currently exposes a single global configuration option, DEVELOPMENT_MODE, which toggles between development features (caching and debug output) and production-ready behavior.

The config.py file in the interviewstreet/hiring-agent repository serves as the central configuration hub for the Hiring Agent application. This lightweight module contains the configuration options available in config.py that govern runtime behavior across the entire codebase, specifically controlling whether the system operates in a permissive development mode or an optimized production mode.

Understanding the DEVELOPMENT_MODE Flag

The primary configuration option available in config.py is the DEVELOPMENT_MODE boolean flag. When set to True (the default), this flag enables development-only features such as caching intermediate results and printing extra debugging information. Setting it to False disables these development helpers, configuring the application for production use where verbose logging and caching are typically suppressed.

Implementation in config.py

In the config.py file, the configuration is defined as a simple boolean constant:

# config.py

DEVELOPMENT_MODE = True

This single line establishes the default behavior for the entire application. According to the interviewstreet/hiring-agent source code, this flag acts as a global toggle that downstream modules import to conditionally execute development-specific logic.

Practical Usage Examples Across the Codebase

The DEVELOPMENT_MODE flag is consumed across multiple modules to control caching and debugging behavior conditionally.

Conditional Debugging in Application Logic

You can import the flag to gate debug logging and verbose output throughout your code:

from config import DEVELOPMENT_MODE

if DEVELOPMENT_MODE:
    # Enable debug logging or caching

    print("Running in development mode")
else:
    # Production-ready behavior

    print("Running in production mode")

Caching Intermediate Results in score.py

In score.py, the flag determines whether to load cached results or recompute them:

# Inside score.py (simplified excerpt)

from config import DEVELOPMENT_MODE

if DEVELOPMENT_MODE and os.path.exists(cache_filename):
    # Load cached results

    ...

GitHub API Response Caching in github.py

Similarly, github.py uses DEVELOPMENT_MODE to decide whether to cache GitHub API responses. This prevents unnecessary API calls during development while ensuring fresh data in production environments.

Switching to Production Mode

To run the application in production, modify the config.py file directly before launching your scripts:

# Before launching the script, edit config.py:

# Change the line:

# DEVELOPMENT_MODE = True

# to:

DEVELOPMENT_MODE = False

This change disables the development helpers and configures the Hiring Agent for production deployment.

Summary

• The config.py module in interviewstreet/hiring-agent contains a single configuration option: DEVELOPMENT_MODE.
• DEVELOPMENT_MODE defaults to True, enabling caching and debug output for development workflows.
• Setting DEVELOPMENT_MODE to False disables these features for production environments.
• Key files consuming this flag include score.py (result caching) and github.py (API response caching).

Frequently Asked Questions

What is the only configuration option available in config.py?

The sole configuration option currently defined in config.py is DEVELOPMENT_MODE, a boolean flag that controls whether the Hiring Agent runs in development mode with caching and verbose debugging enabled, or in production mode with these features disabled.

How do I disable development mode for production deployment?

To disable development mode, open config.py and change DEVELOPMENT_MODE = True to DEVELOPMENT_MODE = False. This simple modification switches the application to production-ready behavior by disabling intermediate caching and debug output.

Which files in the hiring-agent repository depend on DEVELOPMENT_MODE?

According to the source code analysis, the primary files that reference the DEVELOPMENT_MODE flag are score.py (which uses it to control caching of intermediate results) and github.py (which uses it to determine whether to cache GitHub API responses).

What is the default value of DEVELOPMENT_MODE and why?

The default value is True, which prioritizes developer experience by enabling caching of expensive operations (like API calls and scoring computations) and providing verbose debugging output. This default ensures that developers working with the interviewstreet/hiring-agent repository have immediate visibility into application behavior and faster iteration cycles.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}