“Vibe coding” is great, but building privacy-first tools for your own production workflow is better. I recently moved my personal automation away from cloud-based tools like Antigravity and Cursor to a fully local setup.
Key Highlights:
<ul>
<li>SpecterAI: Solving the “bad commit message” problem using local SLMs.</li>
<li>Kubera: Automating finance tracking by parsing PDFs locally (privacy is non-negotiable here).</li>
<li>The “Why”: Why API costs and data privacy are pushing me toward the “Local-First” movement in 2026.</li>
</ul>
Check out the roadmap and how I’m fine-tuning these for my daily use: <a href="https://medium.com/@dazzlerkumar/vibe-coding-my-way-to-privacy-why-im-building-local-first-ai-tools-b568291e2441" target="_blank" rel="noopener nofollow">Article</a>
#SoftwareArchitecture #WebDev #AI #OpenSource #LLM

Deepak Kumar

A developer shares their shift from cloud-based tools like Cursor to a fully local setup powered by Bun and Llama 3.2. Two personal projects are highlighted: SpecterAI, which generates better commit messages using local small language models, and Kubera, which parses financial PDFs locally to preserve privacy. The motivation centers on avoiding API costs and keeping sensitive data off third-party servers, framing this as part of a broader 'Local-First' movement gaining traction in 2026.

Why I’m building local-first tools with Bun and Llama 3.2?