Phase 1
Completed
Core Engine & State Management
Foundation of the 3x3 grid, basic turn logic, and win-state validation.
Development Journey
Building the Core of Casual Logic
From the foundational 3x3 grid mechanics to designing an intelligent computer opponent, track our progress as we bring TicTac Logic to life. We believe in building in public.
Adaptive Opponent Logic
Our Player vs Computer mode avoids strictly random placement. Instead, it relies on a bespoke algorithmic approach that evaluates grid states dynamically to provide a natural challenge.
-
Dynamic Difficulty Scaling The AI engine monitors the player's recent win-rate and adjusts its look-ahead depth in real-time, preventing immediate frustration for new users.
-
State Tree Analysis Utilizing a custom Minimax implementation to rank all possible future grid outcomes, ensuring optimal blocking strategies.
Technical Roadmap
A transparent overview of our milestones leading up to the official launch. We are currently finalizing the multiplayer networking layer.
Phase 2
Completed
Opponent AI Implementation
Minimax algorithm integration and dynamic difficulty parameters.
Phase 3
In Progress
Multiplayer Networking Sync
Building low-latency WebSockets for the Two Player live mode.
Phase 4
Upcoming
Beta Release & QA
Closed tester feedback loop, UI polish, and cross-browser stability checks.
Editorial Aesthetics & UI Flow
A core tenet of our design DNA is visual clarity. By leveraging system fonts and an editorial typography scale, we minimize interface noise. Players can focus entirely on the logic puzzle.
Every component, from the large soft-cornered interaction cards to the fluid responsive spacing, is architected to scale flawlessly across mobile and desktop environments.
Join the Developer Track
Are you a fellow developer, or just interested in the technical minutiae? Subscribe for deep-dives into our architecture and priority access to alpha testing layers.