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AtlasRepo

AURA AI: Context-Aware Workspace Assistant Built for Project Teammates

Description and use

AURA AI is a context-aware workspace assistant that ingests team notes, architecture decisions, and codebase details to provide instant, context‑driven answers and structured implementation blueprints, improving team alignment and productivity.

Problem

Modern developer teams lose hours each week sifting through scattered documentation, message histories, and project trackers just to get on the same page.

Outcome

AURA AI reduces time spent searching for project context, improves alignment, and generates actionable implementation blueprints in real time.

Workflow

  • 1. Ingest team notes, architecture decisions, and codebase details into AURA AI.
  • 2. Use Gemini API to retrieve context and synthesize responses.
  • 3. Present answers and blueprints via Next.js frontend with real‑time updates through Supabase channels.
  • 4. Team members interact with the assistant to get instant, context‑aware information and implementation checklists.

Evidence

Modern developer teams lose hours each week sifting through scattered documentation, message histories, and project trackers just to get on the same page.

Source

Instead of acting as an isolated chatbot, it ingests your team's project notes, architecture decisions, and codebase details to provide contextual assistance, summarize meetings, and generate implementation blueprints in real time.

Source

Supabase for relational data storage, user authentication, and real‑time updates.

Source

Powered by the Gemini API for fast, high-context retrieval and response synthesis.

Source

  • Record date: 2026-10-04T17:56:02.243Z