Tg Planner

C 64 completed
Other
web_app / json · small
112
Files
20,262
LOC
3
Frameworks
7
Languages

Pipeline State

completed
Run ID
#382744
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
52.07
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47255
Member of a group with 1 similar repo(s) — canonical #103068 view group →
Top concepts (2)
Project DescriptionWeb Frontend
If a scraper extracted this row, it came from Repobility (https://repobility.com)

AI Prompt

Create a Telegram bot task planner that uses AI to parse natural language text or voice messages into structured tasks. The bot needs to handle multiple tasks in one message, automatically determining the title, deadline, and priority. It should support recurring reminders using RFC 5545 and generate daily digests (morning/evening). The core stack should use Next.js 16 with TypeScript, Drizzle ORM for PostgreSQL, and integrate with a Telegram Bot API handler like grammy, utilizing OpenRouter for AI parsing and OpenAI Whisper for voice recognition. Include endpoints for handling webhooks and cron jobs for reminders.
typescript next.js telegram bot ai-parsing drizzle postgresql natural-language task-planner web-app
Generated by gemma4:latest

Catalog Information

Telegram-бот планировщик задач с AI-парсингом естественного языка.

Description

Telegram-бот планировщик задач с AI-парсингом естественного языка.

Novelty

3/10

Tags

typescript next.js telegram bot ai-parsing drizzle postgresql natural-language task-planner web-app

Technologies

drizzle nextjs react tailwind

Claude Models

claude-opus-4-6

Quality Score

C
64.1/100
Structure
56
Code Quality
98
Documentation
62
Testing
0
Practices
64
Security
92
Dependencies
60

Strengths

  • Code linting configured (eslint)
  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected
  • Containerized deployment (Docker)

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 465 duplicate lines detected \u2014 consider DRY refactoring
  • 1 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a LICENSE file (MIT recommended for open source)
  • Address 26 TODO/FIXME items \u2014 consider tracking them as issues

Security & Health

13.6h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (2)
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
Unknown
License
6.1%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

json
42.3%
yaml
26.8%
typescript
21.9%
markdown
8.3%
sql
0.4%
css
0.2%
javascript
0.1%

Frameworks

React Next.js Drizzle

Concepts (2)

Data scored by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility · code-quality intelligence platform · https://repobility.com
auto_descriptionProject DescriptionTelegram-бот планировщик задач с AI-парсингом естественного языка.80%
auto_categoryWeb Frontendweb-frontend70%

Quality Timeline

1 quality score recorded.

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