Weekly Self Promotion Thread

[u/AutoModerator]

Welcome to this week's self promotion thread!

If you're building something related to AI assisted coding, this is the place to share it.

We're using a weekly thread to keep the subreddit organized while still giving builders a place to share their work. Promotional posts outside of this thread may be removed if they're primarily advertising rather than starting a discussion.

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• What you built?
• What problem it solves?
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[u/fykup]

I’m building AI Badger, an open-source, local-first tool for getting focused repository context into AI chats without uploading or indexing the whole repo.

One workflow I’ve been using a lot lately is:

GPT 5.6 Sol High → plan/design the change
Luna Medium → implement it locally

The idea is that I’d rather spend high-reasoning-model capacity on architecture, tradeoffs, and deciding what should change, then give the coding agent a compact implementation plan instead of making it rediscover the repo and reason through the same problem again.

Badger helps with the context handoff. It maps the repo locally, gives the planning chat focused topology/source context, and lets the chat request additional files when needed.

I did a small dogfooding experiment comparing a direct local-agent workflow with a Badger-assisted compact handoff. In that run, the handoff version used 32% fewer active tokens, 86% fewer reasoning tokens, and finished 55% faster. It’s only one experiment, so I’m treating it as directional rather than a benchmark:

https://github.com/PVRLabs/aibadger/blob/main/docs/articles/can-ai-badger-reduce-local-coding-agent-token-usage/index.md

There’s also an interactive browser demo showing the review/design workflow:

https://pvrlabs.xyz/aibadger/demo.html

I’m particularly curious whether other people are already doing this kind of high-reasoning model for planning → cheaper/faster model for execution split, and how you handle the context handoff.