MinTok AST Virtualization for Java
Compile Java codebases into high-density Intermediate Representation (IR). MinTok parses concrete syntax trees via Tree-sitter, strips syntactic boilerplate, and preserves complete architectural invariants so models reason faster with 84.3% fewer prompt tokens.
Why Java Inflates LLM Context Windows
The Java programming language possesses rich syntactic conventions that provide high human readability but introduce substantial token inflation when fed into large language models. Repetitive import statements, verbose type annotations, boilerplate constructors, and extensive docstrings often consume between 65% and 80% of an agent's context window.
MinTok's Java compiler leverages native `tree-sitter-java` grammar parsers to tokenize source files into concrete syntax trees. By analyzing node hierarchies, MinTok identifies unreferenced symbol declarations, dead variable bindings, and unused module imports. These nodes are surgically elided before tokenization, achieving an average of 84.3% token reduction while preserving 100% of functional contracts and type bounds.
Java AST Slicing Pipeline
Four-stage deterministic AST compaction executed inside Cloudflare V8 WebAssembly isolates in <3ms.
Lombok & POJO Condensation
Eliminates getters, setters, equals, and hashCode methods from model representations.
Spring Boot Annotation Folding
Condenses multi-line JPA and Spring security annotations into concise role contracts.
Package & Import Slicing
Prunes java.util.* and internal enterprise package paths down to short symbol names.
Interface Hierarchy Mapping
Builds clear inheritance trees without resending base interfaces.
AST Transformation Benchmark
Compare raw source code tokens against MinTok compiled IR for Java.
// Raw Java (440 Tokens)
package com.company.billing.service;
import java.math.BigDecimal;
import java.time.Instant;
import javax.persistence.*;
import lombok.Getter;
import lombok.Setter;
@Entity
@Table(name = "invoices")
@Getter
@Setter
public class InvoiceEntity {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@Column(nullable = false)
private String customerId;
@Column(precision = 10, scale = 2)
private BigDecimal totalAmount;
@Column(nullable = false)
private Instant createdAt = Instant.now();
}
// MinTok IR (69 Tokens — 84.3% Saved)
@entity Invoice(id:Long, customerId:str, totalAmount:decimal, createdAt:timestamp)
Core Java Compiler Invariants
MinTok never truncates or guesses. These four structural invariants guarantee zero hallucinated imports and 100% type soundness.
Contract & Type Invariant
Public type signatures, trait boundaries, and function interfaces in .java files are strictly preserved so downstream callers compile without type errors.
Exception & Error Boundary
Try/catch blocks, error return values, and panic/raise declarations are maintained to ensure models reason accurately about failure states.
Namespace & Module Path
Canonical import paths and symbol namespaces are preserved, preventing hallucinated relative import paths.
Deterministic Serialization
MinTok IR serializes deterministically across identical AST inputs, maximizing edge KV cache hit rates.
CLI Flags for Java
mintok compile src/ --lang java
Compiles all .java files into high-density MinTok IR format.
mintok check --lang java --strict
Validates AST syntax invariants and verifies that no syntax errors were introduced.
mintok run --lang java --ratio 0.20
Targets a strict 80% context compression ratio during autonomous execution.
Java AST Compilation Questions
Does MinTok break Java syntax when editing code?
No. MinTok uses Tree-sitter parsers to validate syntax before and after every modification, guaranteeing that emitted patches are syntactically sound.
How does MinTok handle Java macros and metaprogramming?
MinTok expands local utility macros into structural type invariants while preserving the underlying macro definition for caller safety.
Can I use MinTok with large multi-file Java projects?
Yes. MinTok builds a project-wide symbol dependency graph across all .java files, enabling surgical cross-file refactoring without context blowouts.
What is the compression speed?
MinTok compiles Java ASTs in less than 3 milliseconds per file inside Cloudflare V8 WebAssembly isolates.