Top 10 AI Tools for Programming in 2025: What Developers Are Choosing
 10.07.2025
10.07.2025
📑 Table of Contents
- Introduction
- How AI Helps Developers in 2025
- Comparison of the Top 10 AI Programming Tools
- Real Prompt Examples
- Who These Tools Are For
- Visual: How an AI Assistant Works in an IDE
- Conclusion and Tips
Introduction
AI no longer just helps—you can delegate entire blocks of code to it. By 2025, up to 30% of all code in major tech companies is generated using AI. Whether you’re a developer, startup founder, or technical writer, knowing the best AI tools is essential for boosting productivity, reducing bugs, and automating repetitive work.
How AI Helps Developers in 2025
🔹 Automatic code generation
🔹 Bug detection and refactoring
🔹 Translation between programming languages
🔹 Commenting and documentation
🔹 Understanding legacy or third-party code
Comparison of the Top 10 AI Programming Tools
| Tool | What It Does | Languages | Key Features | Price | 
| GitHub Copilot X | Writes code, generates tests | JS, Python, Java, etc. | GPT-4, VSCode/CLI integration | from $10/mo | 
| Codeium | Autocomplete, translation, chat | 70+ | Free for individuals | Free | 
| Amazon CodeWhisperer | AWS-integrated, secure code | Python, Java, JS, etc. | Detects vulnerabilities | Free tier | 
| Tabnine | ML model trained on local code | JS, Python | Works offline, privacy-friendly | from $12/mo | 
| Replit Ghostwriter | Code generation and fixes | Web-based | Browser IDE, instant feedback | Included in Pro | 
| CodiumAI | Unit tests, logic explanation | JS, Python | Test generation and code reasoning | Freemium | 
| AskCodi | Prompt-based SQL/code generation | SQL, Python, JS, etc. | Great for analysts and data teams | from $7/mo | 
| MutableAI | Refactoring, GPT-enhanced code | TS, Python | Converts code into better functions | from $10/mo | 
| Kite (deprecated) | Discontinued in 2023 | Python | No longer supported | — | 
| Sourcery | Optimizes Python functions | Python | Ideal for backend refactoring | Free | 
Real Prompt Examples
🧪 Example 1: Explaining a function
Prompt:
Explain what this Python function does, and suggest improvements.
python
def parse_data(a):
return [i for i in a if i not in ['null', '', None]]
Copilot / Codeium Output:
This function removes null values from a list. You could improve readability by renaming it to filter_valid_data.
🔧 Example 2: Generating SQL query
Prompt:
Write an SQL query to find users who made purchases over $1000 in the last 30 days.
AskCodi Output:
sql
SELECT name FROM users
JOIN purchases ON users.id = purchases.user_id
WHERE purchases.amount > 1000 AND purchases.date >= CURRENT_DATE - INTERVAL '30 days';
💡 Example 3: Writing unit tests
Prompt:
Generate unit tests for a function that calculates the factorial of a number.
CodiumAI Output:
python
def test_factorial():
assert factorial(5) == 120
assert factorial(0) == 1
Who These Tools Are For
| User Type | Best Tools | 
| Beginner Developer | Copilot X, Replit | 
| Data Analyst | AskCodi, Codeium | 
| Backend Developer | CodiumAI, Sourcery | 
| Frontend Developer | MutableAI, Tabnine | 
| Freelancer / Startup | Codeium (free) | 
🖼️ Visual: How AI Assistant Works in IDE
Conclusion and Tips
✅ GitHub Copilot X leads in versatility and quality
✅ Codeium is ideal for free solo use
✅ AskCodi and CodiumAI shine in SQL and test generation
✅ Use precise prompts—prompt quality greatly affects output
✅ Integrate tools into IDEs (VSCode, PyCharm, etc.) for speed and comfort
- GitHub Copilot X
- Codeium
- How IT Professionals Accelerate Work with AI: Top 7 Use Cases in 2025
- Prompt engineering: how to talk to AI in 2025



