# What Programming Language Is Hiring Agent Written In? Complete Python Source Analysis

> Discover the programming language behind the InterviewStreet Hiring Agent. This repository is written entirely in Python. Explore the source code and dependencies.

- Repository: [HackerRank/hiring-agent](https://github.com/interviewstreet/hiring-agent)
- Tags: deep-dive
- Published: 2026-06-26

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**The InterviewStreet Hiring Agent repository is written entirely in Python**, utilizing standard `.py` file extensions and Python-specific dependency management via [`requirements.txt`](https://github.com/interviewstreet/hiring-agent/blob/main/requirements.txt).

When examining the interviewstreet/hiring-agent codebase to determine what programming language powers this automated hiring tool, the evidence points exclusively to Python. Every module—from configuration loading to LLM integration—uses Python's syntax and ecosystem, with no evidence of compiled languages or JavaScript components.

## Source File Extensions Confirm Python Implementation

A comprehensive review of the repository structure reveals that **all source files use the `.py` extension**, confirming Python as the sole implementation language. The codebase contains no JavaScript, TypeScript, Go, or Rust files, establishing a pure Python environment.

Key files that demonstrate this include:

- **[`config.py`](https://github.com/interviewstreet/hiring-agent/blob/main/config.py)**: Loads and validates configuration settings using `pathlib` and `json`
- **[`prompt.py`](https://github.com/interviewstreet/hiring-agent/blob/main/prompt.py)**: Handles Jinja2-based prompt generation for LLMs
- **[`models.py`](https://github.com/interviewstreet/hiring-agent/blob/main/models.py)**: Defines data models used throughout the application
- **[`evaluator.py`](https://github.com/interviewstreet/hiring-agent/blob/main/evaluator.py)**: Contains core logic for evaluating resumes with LLM calls
- **[`github.py`](https://github.com/interviewstreet/hiring-agent/blob/main/github.py)**: Provides utilities for interacting with the GitHub API
- **[`requirements.txt`](https://github.com/interviewstreet/hiring-agent/blob/main/requirements.txt)**: Lists Python package dependencies including `jinja2` and `requests`

## Python Dependency Management

The presence of **[`requirements.txt`](https://github.com/interviewstreet/hiring-agent/blob/main/requirements.txt)** in the repository root provides additional confirmation that Hiring Agent is a Python project. This file manages the project's external dependencies, including web frameworks and templating engines essential for LLM operations.

## Core Python Implementation Examples

The Hiring Agent architecture follows Pythonic principles with modular separation of concerns. Below are practical implementations from key modules.

### Configuration Loading in [`config.py`](https://github.com/interviewstreet/hiring-agent/blob/main/config.py)

The configuration module uses Python's `pathlib` for cross-platform path handling:

```python

# src: config.py

from pathlib import Path
import json

def load_config() -> dict:
    config_path = Path(__file__).with_name("config.json")
    with config_path.open() as f:
        return json.load(f)

```

### LLM Prompt Generation in [`prompt.py`](https://github.com/interviewstreet/hiring-agent/blob/main/prompt.py)

Template rendering leverages the Jinja2 library, a Python-specific templating engine:

```python

# src: prompt.py

from jinja2 import Environment, FileSystemLoader

env = Environment(loader=FileSystemLoader("prompts/templates"))
template = env.get_template("basics.jinja")
prompt = template.render(name="Alice", experience=5)

```

### Resume Evaluation in [`evaluator.py`](https://github.com/interviewstreet/hiring-agent/blob/main/evaluator.py)

The core evaluation logic interfaces with LLM utilities using standard Python typing:

```python

# src: evaluator.py

from llm_utils import call_llm

def evaluate_resume(resume_text: str) -> dict:
    response = call_llm(prompt=resume_text)
    return response.json()

```

### GitHub API Integration in [`github.py`](https://github.com/interviewstreet/hiring-agent/blob/main/github.py)

External API calls utilize Python's `requests` library:

```python

# src: github.py

import requests

def fetch_repo_issues(owner: str, repo: str) -> list:
    url = f"https://api.github.com/repos/{owner}/{repo}/issues"
    resp = requests.get(url, headers={"Accept": "application/vnd.github.v3+json"})
    return resp.json()

```

## Architectural Patterns

The codebase demonstrates typical Pythonic patterns: duck typing, modular imports, and clear separation between data models, business logic, and external integrations. This structure confirms that when asking what programming language Hiring Agent is written in, the answer is definitively Python 3, leveraging modern features like type hints and pathlib.

## Summary

- **Hiring Agent is 100% Python**: Every source file uses the `.py` extension with no other languages present.
- **Python ecosystem dependencies**: The [`requirements.txt`](https://github.com/interviewstreet/hiring-agent/blob/main/requirements.txt) file manages packages like `jinja2` and `requests`.
- **Modular architecture**: Code is organized into logical units ([`config.py`](https://github.com/interviewstreet/hiring-agent/blob/main/config.py), [`evaluator.py`](https://github.com/interviewstreet/hiring-agent/blob/main/evaluator.py), [`github.py`](https://github.com/interviewstreet/hiring-agent/blob/main/github.py)) following Python best practices.
- **Modern Python features**: Uses type hints, `pathlib`, and f-strings throughout the codebase.
- **LLM integration**: Python's rich ecosystem supports the Jinja2 templating required for prompt engineering.

## Frequently Asked Questions

### Is Hiring Agent written in Python or JavaScript?

**Hiring Agent is written exclusively in Python**. The repository contains no JavaScript or TypeScript files; all logic—including frontend-facing components and API integrations—is implemented in Python modules. Every file in the source tree uses the `.py` extension.

### What Python version does Hiring Agent require?

While the repository does not specify a minimum Python version explicitly, the syntax indicates **Python 3.6+** based on the use of type hints, f-strings, and `pathlib` functionality. The type annotation syntax (`-> dict`) and `pathlib` with context managers require modern Python versions.

### Does Hiring Agent use any compiled languages like C or Rust?

**No, Hiring Agent uses pure Python**. While Python packages like `requests` may rely on compiled extensions internally, the application code itself contains no C, C++, Rust, or Go source files. All core functionality is implemented in interpreted Python code located in the repository's `.py` files.

### Where can I find the Python package requirements for Hiring Agent?

The **[`requirements.txt`](https://github.com/interviewstreet/hiring-agent/blob/main/requirements.txt)** file in the repository root lists all Python dependencies. According to the source analysis, this includes essential packages like `jinja2` for template rendering and `requests` for HTTP API communications with GitHub and LLM endpoints.