We're Team Bridgeye. We're launching NOVA today (https://nova.bridgeye.com/), an AI-native developer workspace that goes beyond code suggestions and actually executes.

The problem: AI coding assistants are genuinely useful, but the workflow is still broken. You chat, get a snippet, paste it in, run it, hit an error, go back to ChatGPT, explain the error, get a fix, paste again. It's 2025 and we're still copy-pasting stack traces.

What NOVA does differently:

run <cmd> - executes your code and if it fails, NOVA intercepts the stack trace and automatically patches the code until it runs. No manual debugging loop.

build it - describe a goal in plain English, NOVA generates a verified implementation plan and writes all the files.

clean - load any file and NOVA refactors it for readability, performance, and technical debt removal.

:gitoptions - full Git workflow (commit, push, pull, status) handled inside the terminal.

Everything runs inside the Spark Terminal - a single environment where planning, execution, healing, and version control all live together.

Install:

pip install nova-bridgeye

We're early and actively iterating. Would genuinely love feedback, especially from people who've thought hard about where AI dev tools are heading. What are we missing? What would make this irreplaceable for your workflow?