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🚀 The Journey Ahead: Next Steps

This document outlines the strategic roadmap and upcoming technical features for InterviewAI.

Current Version: v2.3.0 | Last Updated: February 2026

🔥 Immediate Priority (Next 2–3 Days)

🧠 Phase 6: Coding Round Intelligence

Full design spec: CODING_ROUND_DESIGN.md

  • Day 1 — Backend Brain: Build Problem Spec Generator, AI Dry Run Engine, and /interview/coding-submit + /interview/coding-log endpoints.
  • Day 2 — Hint Engine + Personas: Tiered Hint Generator, Adinath's Pressure Mode, Veda's Verbalization Gate, and Resume Hook Extractor.
  • Day 3 — Frontend Whiteboard UI: Split-pane editor + Persona toggle + Post-Round Code Review Report render.

🎯 Short-Term Goals (Next 2 Weeks)

1. ⚡ UI/UX "Agentic" Feedback

  • Add a "Researcher at Work" animated terminal in the UI to show real-time agent activity.
  • Show the user when the AI is in "Stealth Mode" vs "Public Research" mode with a visual indicator.
  • Polish the discoveries.json visual rendering in the dashboard.

2. 🏆 Interview Flow Polish

  • Implement a final "Hiring Decision" report after all 5 rounds are completed.
  • Implement iterative difficulty scaling (Round 2 is harder if Round 1 was "Elite").

3. 🧠 Intelligence Refinement (Phase 2.5)

  • Cross-Continental Localization: Enhance the Router to detect if a company has different processes (e.g., Google US vs Google India).
  • Discovery Dashboard: Create a UI screen to browse the global discoveries.json database.
  • Real-time Search Streaming: Push live research logs (ACCEPTED/REJECTED links) directly to the user's dashboard.
  • Automatic Memory Pruning: Build a script to periodically "refresh" discoveries that are older than 6 months.

💡 Tech Debt & Maintenance

  • Refine the "Critic" agent prompts to catch even more subtle hallucinations.
  • Expand the Curated Database from 398 companies to 500+.
  • Implement robust error handling and retry logic for DuckDuckGo rate limits (exponential backoff).

🏔️ Long-Term Vision (Future Roadmap)

📊 AI-Generated Learning Roadmaps

  • Build the complete logic to transform interview feedback into a personalized 7-day study plan stored in the database, currently only the generator exists.

🎥 Video/Voice Integration

  • Implement real-time WebRTC logic to analyze body language and tone during the session.

🏆 Community & Scores

  • Create a global leaderboard for "Google-Level" readiness scores.
  • Allow users to share their "Interview Intelligence Reports" on LinkedIn.

✅ Recently Completed (This Sprint)

  • Mermaid Architecture Diagram — Fixed parse error on GitHub. All node labels properly quoted.
  • Docs Reorganization — All loose markdown files moved to /docs folder with navigation index.
  • Evergreen Perpetual Freshness (v2.2.2) — Dynamic year calculation via datetime. No more hardcoded years.
  • Geographic Guardrails — Location-aware router_node prevents cross-continental name collisions.
  • Domain Guard (v2.2) — Prevents AI from forcing LeetCode rounds on non-tech companies.
  • API Key Security — Rotated exposed keys, cleaned Git history, secured in .env.
  • Neon PostgreSQL — Cloud database connected and used for session + user storage.
  • Generic Article Purge (v2.3) — Python domain blocklist strips datacamp/guru99/intellipaat junk from Researcher results before Auditor sees them. Fixed Grant Thornton Bharat save failure.
  • Domain-Aware Round Engine (v2.3) — Complete rewrite of round_config.py. All 12 domains now get correct domain-specific rounds. Finance → Case Study. Healthcare → Situational. Creative → Portfolio Review. Tech → System Design.
  • Managerial Round Correction (v2.3) — Managerial round now applies to ALL domains at Senior level. Was incorrectly restricted to Tech + Business only.
  • Domain Category Priority Fix (v2.3) — Fixed generate_domain_report.py mapper order bug where Accounting/Consulting was binned under Business instead of Finance.