I will fix a reproducible python telegram bot or webhook bug


Over deze dienst
Is your Python Telegram bot, webhook or API failing on duplicate updates, retries, malformed JSON, stale state or API errors?
I provide a focused, regression-first fix for an existing Python codebase:
1. Confirm the failure and expected behavior.
2. Preserve a failing regression case.
3. Trace the root cause.
4. Implement a focused fix without unrelated rewrites.
5. Run the agreed tests and document the result.
Good fits include duplicate updates, retry or idempotency defects, malformed JSON, API error paths, routing mistakes and missing edge-case tests.
You receive changed source files, regression tests and a concise handover note. Test quantity follows the selected package.
This service debugs existing Python software; it does not build a complete bot, website, SaaS product or AI system. Deployment, hosting, large refactors, scraping, spam, trading automation and unauthorized access are excluded.
Send only sanitized code and fixtures you are authorized to share. Remove tokens, passwords, private keys, personal data and production credentials. If the issue cannot be reproduced, I will request sanitized evidence rather than guess.
Maak kennis met Kees
Python Bot and API Debugging
- Afkomstig uitNederland
- Lid sindsjul 2026
Talen
Nederlands
Veelgestelde vragen
Do you need my Telegram bot token?
Normally no. Remove all live tokens and secrets. A sanitized local fixture or test token under your control is preferred. Never send seed phrases, private keys or personal credentials.
Can you build my whole bot?
This gig is for bounded debugging and regression tests in an existing Python codebase. A complete new system is outside scope.
What counts as one bug?
One reproducible cause-and-effect failure with one agreed expected behavior. Several symptoms from the same root cause may fit; unrelated defects require a larger package or custom offer.
What if the bug is not reproducible?
I will identify the missing evidence needed. Delivery work does not proceed on guesses, unavailable production systems or hidden credentials.
Are your portfolio examples customer projects?
No. The initial portfolio case is clearly marked as a synthetic engineering demonstration created to show the workflow without exposing customer code or private data.
