Pietro Di Bello
xpepper
Hi! I'm Pietro 👋 Software Engineer with a passion for problem solving, visualization, XP and refactoring. I thrive on continuous learning & collaboration.
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Repos
288
Stars
45
Forks
7
Top Language
Shell
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Top Repositories
Poker Hands Kata in Java
Different flavours of legacy code on the Goose Game kata
A agent skill that leverages the Perplexity CLI for web research, deep reasoning, and independent validation.
Orchestrate a Red–Green–Refactor loop with three LLM roles (tester, implementor, refactorer). Each step applies a JSON patch, runs tests, and commits to git. Works with Gemini and OpenAI-compatible APIs (e.g., DeepSeek, GitHub Models).
A gh extension that generates PR descriptions from diffs using GitHub Models
Repositories
288No description provided.
A local lecture transcription app with synced playback, timestamped reading, and reusable saved-lecture library.
A local lecture transcription app with synced playback, timestamped reading, and reusable saved-lecture library
A local lecture transcription app with synced playback, timestamped reading, and reusable saved-lecture library.
An extension for the `gh` CLI to request code reviews from GitHub Copilot
A gh extension that generates PR descriptions from diffs using GitHub Models
An agent skill for closing out coding sessions — updates project docs, agent instructions, and captures lessons learned to help future sessions start stronger.
No description provided.
A agent skill that leverages the Perplexity CLI for web research, deep reasoning, and independent validation.
Claude Code plugin: silently detects refactoring opportunities as you work and surfaces them at the end of each response — leave the code better than you found it.
Agent Skills for automating GitHub PR code review workflows
Our favorite agentic coding commands
A GitHub CLI extension that displays CI status next to commit logs. It shows recent commits with inline summary icons indicating GitHub Check/Actions status (✅ green, ❌ failing, 🕓 pending, or 🚫 cancelled).
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Practice Test-Driven Development through code katas with strict Red-Green-Refactor cycle enforcement.
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An experiment in creating an autonomous TDD code kata machine with AI-assisted coding (using Antigravity and Gemini 3 Pro / Sonnet 4.5)
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AI-powered multi-agent system for automated Test-Driven Development of code katas using LLMs
AI-powered multi-agent system for automated Test-Driven Development of code katas using LLMs
gh extension to watch latest run of a workflow by name
Orchestrate a Red–Green–Refactor loop with three LLM roles (tester, implementor, refactorer). Each step applies a JSON patch, runs tests, and commits to git. Works with Gemini and OpenAI-compatible APIs (e.g., DeepSeek, GitHub Models).
my personal blog
Different flavours of legacy code on the Goose Game kata
Poker Hands Kata in Java
A code kata on the Goose Game