Vibe Coding Claude: Telegram Bots on aiogram 3

Vibecoding with Claude: Building Telegram Bots Using aiogram

Vibecoding transforms how we code: instead of writing every line manually, developers define the task, and AI generates the project structure. With models like Claude Sonnet 4.6 and Opus 4.6, this approach is now efficient enough for full-scale applications—including Telegram bots. You can build a working service in just one evening through conversation, while still maintaining full control over architecture.

Claude stands out for its ability to retain context across large projects, organize code logically, and avoid chaotic rewrites. It thinks systemically—breaking down logic into modular components, separating configuration, and handling message routing cleanly.

The Explosive Rise of Telegram Bots

BotFather’s stats reveal a surge: from 4.1 million monthly users in December 2025 to 8.26 million in February 2026—a doubling in just two months. This growth aligns with advances in AI models that make bot creation faster and more accessible.

Why Claude is ideal for bot development:

• Organizes project structure: dedicated files for handlers, database, config.
• Maintains context during long conversations.
• Favors predictable patterns: aiogram 3, SQLite, dotenv integration.

Setting Up Your Environment

Requirements are minimal: Python 3, a BotFather token, and access to Claude. The model automatically suggests the tech stack—aiogram 3 for async handling, SQLite for data storage, dotenv for API keys, and logging for debugging.

Start with a clear prompt:

Create a Telegram bot using aiogram 3, Python 3, HTML formatting, SQLite, logging, and environment variables from .env. Include all dependencies. Core functionality: [describe logic].

Claude generates a project skeleton: main.py, handlers/, database.py, config.py.

Iterative Development Workflow

Development happens through dialogue. Add clarity with:

Don’t rewrite the entire program—just list what to add and where, as if I’m a beginner.

Project evolution stages:

• Basic bot with echo logic and routing.
• Integrate SQLite: table models and CRUD operations.
• Expand features: FSM states, inline keyboards.
• Implement logging and error handling.

Claude auto-refactors: moves DB repositories, adds middleware for authentication.

Debugging and Fixing Errors

Complex logic often leads to issues: outdated aiogram syntax, missing methods, or FSM state bugs.

When errors occur, send the traceback with:

[error log] Don’t rewrite the whole code—just specify exactly what to add, clearly for beginners, with full code snippets and insertion points.

The model delivers precise patches: targeted edits in handlers.py or database.py, without restructuring the entire project.

Example fix for aiogram FSM:

# In handlers.py, after router definition
@router.message(F.text == 'start')
async def cmd_start(message: Message, state: FSMContext):
    await message.answer('Hello!')
    await state.set_state(MyStates.waiting_input)

Model Comparison in Practice

| Model | Strengths | Weaknesses |

|-------|-----------|------------|

| Claude | Project structure, context retention, refactoring | Slower on micro-tasks |

| ChatGPT | Fast fixes, concise code snippets | Loses context in large projects |

Claude is better suited for end-to-end bot development.

Deployment and Running

Claude generates deployment steps: venv setup, pip install -r requirements.txt, python main.py. Account for server specifics—systemd for background services, nginx for webhooks.

Deployment steps:

• pip install -r requirements.txt
• cp .env.example .env and fill in your tokens.
• python -m main to test locally.
• On VPS: use screen/tmux or supervisor for process management.

Key Takeaways

• Speed: Go from idea to deployment in hours, not days.
• Format control: Prompts like "don’t rewrite the code" stabilize output quality.
• Limitations: AI doesn’t replace understanding—always verify FSM logic and DB queries.
• Scalability: Ideal for mid-to-senior devs focusing on architecture, not boilerplate.
• Trend validation: BotFather’s growth confirms the rise of vibecoding.

— Editorial Team