Gemini-Engineer Tool
Hey everyone! I've developed Gemini Engineer, an AI-powered CLI tool for software developers, using the Gemini API! This tool aims to assist with project creation, file management, and coding tasks through AI. It's still in development, and I'd love to get feedback from fellow developers like you. Check out the project on GitHub: https://github.com/ozanunal0/gemini-engineer Please give it a try and share your thoughts, suggestions, or any bugs you find. Thanks a bunch!
Gemini-Engineer Tool launched on June 1, 2025 with 9 votes, #3,023 of 7,999 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
A Python-based AI coding assistant that uses the Gemini API for code generation, file manipulation, and interactive software development support via CLI. - ozanunal0/gemini-engineer
An interactive, AI-driven terminal application that acts as a software engineering assistant, leveraging Google's Gemini API with function calling capabilities to perform file system operations and provide intelligent coding assistance. pip install -r requirements.txt Set up your Gemini API key : Create a .env file in the project directory: # Copy the example file and edit it cp env.example .env # Then edit .env and add your actual API key Or create it manually: echo " GEMINI_API_KEY=your_actual_api_key_here " > .env Optional : You can also specify which Gemini model to use: echo " GEMINI_MODEL=gemini-2.5-flash-preview " >> .env Available models: gemini-2.0-flash (default),…from github.com
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Gemini CLI2025 · blog.google · ▲224A simple weekend project, to check if chat conversation could be used on CLI. Uses Google Gemini's gemini-2.0-flash model. Configs will make it nicer, but I wanted to keep it simple to test and launch for now. I can add things for you :) Please give it a try!
- IMI Made an AI Software Engineer with Google Gemini 1.5 Flash2024 · saas-quick.com · ▲6
Hey HN! Thank you for all the support and feedback on my original submission 2 months ago. I've been improving the backend using a MCTS/AlphaZero approach and it's currently producing much better results. My long term goal is to allow users to manage multiple projects, deployed autonomously, both from scratch and by making continual updates all prompted with natural language. The cost of each project has been lowered to $9 as performance with smaller models has improved (I migrated from Claude-3-Opus to gemini-1.5-flash). Thanks for checking it out!
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