Inside the
Machine.
A deep dive into the 16-byte cell architecture, Bayesian rendering strategies, and the zero-unsafe kernel that powers FrankenTUI.
The Render Cycle
Every frame follows a deterministic, 5-stage pipeline. Pure state transitions, no hidden I/O.
Event
Input capture
01Update
State transition
02View
Virtual buffer
03Diff
Bayesian selection
04Present
ANSI emission
0516-Byte Cell Model
The atom of FrankenTUI. Cache-aligned, SIMD-ready, and designed for extreme performance.
┌─────────────────────────────────────────────────────────────────┐ │ Cell (16 bytes) │ ├─────────────┬─────────────┬─────────────┬─────────────┬────────┤ │ CellContent │ fg │ bg │ attrs │ link_id│ │ (4 bytes) │ PackedRgba │ PackedRgba │ CellAttrs │ (2B) │ │ char/gid │ (4 bytes) │ (4 bytes) │ (2 bytes) │ │ └─────────────┴─────────────┴─────────────┴─────────────┴────────┘
Cache Optimal
4 cells fit perfectly in a 64-byte L1 cache line.
SIMD Ready
Single 128-bit instruction for full cell equality.
Zero Leak
RAII-backed grapheme cleanup prevents memory growth.
Monster Math
Algorithms borrowed from statistical machine learning, not hand-tuned heuristics.
Bayesian Diff Strategy
Beta posterior over change rates adaptively selects between full diff, dirty-row, and full redraw strategies.
p ~ Beta(α, β)BOCPD Resize Coalescing
Bayesian Online Change-Point Detection detects regime transitions between steady typing and burst resizing.
P(r_t | x₁:t) with hazard H(r) = 1/λE-Process Monitoring
Wealth-based sequential tests for anytime-valid statistical decisions. No peeking penalty.
W_t = W_{t-1}(1 + λ_t(X_t - μ₀))Conformal Prediction
Distribution-free risk bounds that learn 'normal' from recent residuals.
q = Quantile_{⌈(1-α)(n+1)⌉}(R₁,...,Rₙ)Fenwick Tree
Binary Indexed Tree for O(log n) prefix sums in virtualized lists.
update: j += j & -j | query: j -= j & -jCUSUM Hover Stabilizer
Cumulative sum change-point detector suppresses mouse jitter at hover boundaries.
S_t = max(0, S_{t-1} + d_t - k)Damped Spring Physics
Critically-damped harmonic oscillator for natural motion without overshoot.
x'' + c·x' + k(x - x*) = 0Jain's Fairness Index
Scale-independent fairness metric prevents rendering from starving input processing.
F = (Σxᵢ)² / (n·Σxᵢ²)Porter-Duff Compositing
Full alpha-blending pipeline with opacity stacks for translucent overlays and layered widgets.
C_out = C_src·α_src + C_dst·α_dst·(1-α_src)VOI Telemetry
Value-of-Information analysis that tracks which diagnostic measurements actually improve decisions.
VOI = E[max(a,b)|X] - max(E[a],E[b])Exponential Moving Average
Smoothed frame-time estimation for adaptive budget allocation across render cycles.
EMA_t = α·x_t + (1-α)·EMA_{t-1}Gray-Scott Reaction-Diffusion
PDE-based pattern generator for organic visual effects rendered entirely in terminal cells.
∂u/∂t = Dᵤ∇²u - uv² + F(1-u)Architecture Rules
Core principles enforced at the type and crate level.
One-Writer Rule
All stdout goes through TerminalWriter. Single serialization point eliminates race conditions.
RAII Cleanup
State restored on drop—even on panic. Your terminal never stays broken.
Deterministic
Identical Model state + terminal size = bit-identical ANSI output. Always.
Zero Unsafe
#![forbid(unsafe_code)] across all core rendering and layout crates.
Ready to build?
Add FrankenTUI to your project and start building interfaces with correctness guarantees from day one.