Show HN: Conversations as a first class citizen in AI coding agent
The article discusses the performance evaluation of the Vix AI coding agent compared to Claude Code across various coding tasks. Vix demonstrated faster and cheaper execution in most scenarios, except for one specific task involving long file editing. The authors plan to address the performance issue in future updates and emphasize the importance of qualitative assessments of AI outputs.
- ▪Vix was evaluated across seven real coding scenarios to measure time and cost.
- ▪Overall, Vix was faster and cheaper than Claude Code in six out of seven tasks.
- ▪The only task where Vix was slower involved reading and editing a long file.
Opening excerpt (first ~120 words) tap to expand
Sleek, Fast and Token Efficient AI Coding Agent Demo Benchmark Preamble: this is by no means a scientific approach. This is merely an observation, that we've been able to observe over and over again. Vix plan mode was evaluated across 7 real coding scenarios using the exact same prompt as claude code (cf. this repo). The goal was to measure time and cost in different real-life situations like starting a project from scratch, fixing a bug in an open source library (serde-rs), adding a feature to a massive codebase, refactor file based on tests, ask for test coverage above 80% etc. Here are the results: Task cc cost vix cost cc time vix time 1. [swift] Write a full LRU file cache spec from scratch with no existing codetask · → cc plan · → vix plan $1.82 $0.30 11m30s 2m43s 2.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.