Build 10x more with
AI-Coding Assistants
Workflows, templates and tools to keep you in the flow
🚀 LFG! 🚀![JustBuild.ai](justbuild-icon.webp)
Way beyond Copy/Paste & Copilots
Small teams to achieve unprecedented productivity and innovation.
AI-Coding Assistants are revolutionizing software development, enabling small teams to achieve unprecedented productivity and innovation.
"We're gonna see 10-person billion dollar companies pretty soon...There's this betting pool for the first year that there's a 1-person billion dollar company which would have been unimaginable without AI and now it will happen."
At JustBuild.ai, we're building the tools to make this vision a reality, empowering developers to harness the full potential of AI in their work.
Skill Issues
Software engineering is hard and just saying "AI will solve it" dramatically underestimates the complexity of the problem and insults the hard work of the people who have been working on it for decades. There's a big gap between using ChatGPT or Claude to quickly build a landing page, fix a bug, or write a blog post, and using AI to build a full-fledged application or service. It is the challenge of creating something from nothing and forcing electrons into shapes that build the world is a painful process that is incredibly rewarding to people like us.
Software automation is not a new concept. It has been around for decades, and it has been used in various industries to automate repetitive tasks, like testing and deployment pipelines. Language Models today excel at Reading Comprehension, Text Generation, and Translation. In fact they are so good, we thing they are capable of everything. In fact they struggle a lot of mathematics, they have a hard time with reasoning, they are over confident, and approach problems in a very different way than humans.
In order to get from building simple User Interfaces and python scripts into building entire small businesses, we need to bridge the gap between the way humans think, the way computers process information, and the way language models generate text. To do this requires focusing on the domain and building out
- Workflows
- Templates
- Tools
- Constructive Feedback Loops
- Domain Specific Knowledge (Facts and Concepts)
The Communication Challenge
The fundamental issue in AI-assisted coding lies in bridging the communication gap between three distinct paradigms:
Humans: Graphs
We think in interconnected networks of ideas and visualize complex interactions.
Computers: Trees
Programs operate on hierarchical structures, like abstract syntax trees.
Language Models: Lines
AI models process and generate information sequentially as linear text.
Our Tools: Bridging the Gap
Python Library: justbuild
A powerful library with the 'lfg' command line tool to help convert between graphs, trees, and lines. It assists in merging LLM outputs back into code, planning tools, and building planning path DAGs.
Explore DocumentationChrome Extension
Our upcoming Chrome extension will wrap the Python library, allowing seamless integration with web-based coding environments and local co-pilots.
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