Generating AI Conventional Commits in Lazygit with Gemini 3 Pro

Table of Contents

• The Friction of Repetitive Git Commit Authoring
• 4 Core Pillars of Git Workflow Optimization
• Visualizing the AI-Powered Lazygit Execution Flow
• Step-by-Step Shell Script & Lazygit Configuration
• Frequently Asked Questions
• Conclusion & Next Steps
• Sources & Image Attributions

The Friction of Repetitive Git Commit Authoring

Software engineers make dozens of Git commits every day. However, summarizing multi-file diffs into standardized Conventional Commit messages often slows down developer focus or leads to vague messages like "updates" or "fix bug".

Integrating LLMs into Git Workflow Optimization automates commit generation without leaving the terminal. By parsing staged diffs through lightweight shell scripts and Google Gemini, developers maintain high commit hygiene effortlessly.

Pairing terminal automation with custom shell profiles from Terminal Productivity Configuration and visual Git navigation from Terminal Git UI Tooling creates a frictionless developer workstation.

4 Core Pillars of Git Workflow Optimization

A high-performance Git automation workflow incorporates four key elements:

1. Minimal-Algorithm Staged Diffs

Extracting only staged changes (git diff --cached --diff-algorithm=minimal) to provide LLMs with concise, focused context.

2. Strict Conventional Commit Prompting

Enforcing standardized commit types (feat, fix, docs, refactor, perf, chore) and capping descriptions at 72 characters.

3. Automated Branch Ticket Extraction

Automatically parsing issue numbers from branch names (e.g., extracting #1305 from feature/1305-auth-login) and prepending them to the commit header.

4. Native Terminal UI Keyboard Binding

Triggering the generation workflow via a single keypress (Shift+C) directly inside the Lazygit Files panel.

Visualizing the AI-Powered Lazygit Execution Flow

How Lazygit and Gemini collaborate during a commit:

flowchart LR
    A["Stage Modified Files in Lazygit (Spacebar)"] --> B["Press 'Shift+C' Custom Keybinding"]
    B --> C["gemini_commit_msg.sh Extracts Git Diff & Ticket ID"]
    C --> D["POST Payload to Google Gemini 3 Pro API"]
    D --> E["Gemini Generates Conventional Commit Message"]
    E --> F["Prepends Ticket ID & Opens Git Editor for Review"]

Step-by-Step Shell Script & Lazygit Configuration

1. Create Helper Script (~/.config/lazygit/gemini_commit_msg.sh)

#!/bin/bash
if [ -z "$GEMINI_API_KEY" ]; then echo "Error: GEMINI_API_KEY not set"; exit 1; fi
BRANCH=$(git symbolic-ref --short HEAD 2>/dev/null)
TICKET=$(echo "$BRANCH" | grep -oE '[0-9]+' | head -n 1)
DIFF=$(git diff --cached --diff-algorithm=minimal)
if [ -z "$DIFF" ]; then echo "Error: No staged changes"; exit 1; fi

PROMPT="Write a concise Conventional Commit (<type>: <desc>) for this diff. No ticket numbers. Diff:\n$DIFF"
PAYLOAD=$(jq -n --arg t "$PROMPT" '{contents:[{parts:[{text:$t}]}]}')
RESP=$(curl -s -X POST -H "Content-Type: application/json" -d "$PAYLOAD" \
  "https://generativelanguage.googleapis.com/v1beta/models/gemini-3-pro-preview:generateContent?key=$GEMINI_API_KEY")
MSG=$(echo "$RESP" | jq -r '.candidates[0].content.parts[0].text' | tr -d '\n')

[ -n "$TICKET" ] && echo "(#$TICKET) $MSG" || echo "$MSG"

2. Configure Custom Command in config.yml

customCommands:
  - key: 'C'
    context: 'files'
    description: 'Generate AI Commit with Gemini'
    command: 'git commit -m "$(bash ~/.config/lazygit/gemini_commit_msg.sh)" -e'
    subprocess: true

Frequently Asked Questions

Is my source code sent to Google when generating commit messages?

Only the staged git diff is transmitted to the Gemini API endpoint to construct the commit message summary.

Which model is best for generating Git commit messages?

gemini-3-pro-preview or gemini-2.5-flash offer the best balance of speed (sub-second response) and reasoning accuracy for code diff analysis.

Can I use this setup in PowerShell on Windows?

Yes. You can invoke Git Bash from PowerShell or write an equivalent PowerShell script using Invoke-RestMethod as shown in PowerShell Development Workflow.

Conclusion & Next Steps

Disciplined Git Workflow Optimization removes cognitive friction from daily version control tasks. By integrating AI commit assistance into Lazygit, software teams maintain pristine repository histories with zero manual overhead.

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Sources & Image Attributions

• Header Image: Developer working on code review by Caspar Camille Rubin on Unsplash
• Body Image: Developer working at desk by Domenico Loia on Unsplash