Context preparation for AI development
Context Optimizer
Give the coding agent the context that counts.
Relevant code and compact logs keep AI inputs focused. Local checks help detect invalid edits early.
215Commits
Built, one commit at a time
As of About this number
Counts the commit history of the associated repositories on their default branches. The number includes all contributors up to the date shown.
01 / What it does
An AI coding assistant spends time and tokens on everything it reads. My contribution to this project prepares that input locally: relevant code, concise logs and validation before a write. The result is a workflow designed to reduce avoidable model calls and make failures easier to understand.
02 / What I built
Select relevant code sections
Retrieval selects relevant code while a local model condenses build output.
Validate edits before writing
Syntax and edit checks catch invalid writes and missing target strings.
Record technical decisions
A decision graph preserves the reasoning behind engineering choices.
