Meta-Introspector Repository Analysis

For a comprehensive overview of the meta-introspector project, its architecture, key technologies, and detailed analysis results, please refer to the Meta-Introspector Analysis Document.

Comprehensive analysis of 57,106 domains across 33.9M files with advanced semantic analysis and parallel processing systems.

🔥 Latest: LMFDB Rust Mapping Library + Self-Analysis

New Achievement: Created unified LMFDB mapping library and successfully analyzed itself!

📚 LMFDB Rust Mapping

Location: lmfdb-rust-mapping/

Structure:

• lmfdb-types/ - Core data types (LMFDBLabel, OrbitLevel)
• lmfdb-traits/ - Trait definitions (LMFDBClient, LMFDBMapper)
• src/lib.rs - Main implementation

Self-Analysis Results (libserde_derive.so):

• 8174 symbols mapped to LMFDB labels
• Conductor: 618
• Orbit Distribution:
  • Genesis (11): 3715 symbols (45%)
  • Trinity (23): 3826 symbols (47%)
  • Completeness (47): 633 symbols (8%)

Key Insight: Most Rust symbols fall into Genesis/Trinity orbits (foundational/stable complexity).

🎯 71 Flakes Perf Collection

Status: V2 complete - 34/71 flakes successful with syscall analysis

Features:

• Dual perf capture (build + run)
• Inline perf analysis using linux-perf-data
• Syscall/event type extraction (FORK, MMAP2, SAMPLE, EXIT)
• No slow perf report or addr2line

Data: /mnt/data1/meta-introspector/data/71_flakes_perf/

🔥 Previous: Real Build Analysis with Complete Strace Capture

Breakthrough Achievement: Complete real nix build analysis with structured data capture - discovered actual build complexity vs telemetry assumptions.

🚀 Real Build Discovery

Actual Build Complexity 📊

• 32 binaries executed (vs 14 in old telemetry - 2.3x more!)
• 91 .so files opened during build process
• 71 ldd dependencies from executed binaries
• 92 total unique libraries (vs 39 in telemetry - 2.4x more!)

Structured Data Capture 💾

Session: real_build_1768332029 Location: /mnt/data1/meta-introspector/data/build_analysis/

Data Files:

• real_build_1768332029_binaries.json - All 32 executed binaries
• real_build_1768332029_libraries.json - All 91 opened .so files
• real_build_1768332029_ldd_deps.json - All 71 ldd dependencies
• real_build_1768332029_analysis.json - Combined analysis summary
• real_build_1768332029_strace.log - Raw strace output (5.6MB)

Key Discovery 🎯

The telemetry system was severely underestimating build complexity:

• Old telemetry: 14 binaries, 39 libraries (from cached frontrun results)
• Real build: 32 binaries, 92 libraries (from live strace capture)
• Gap: 2.3x more binaries, 2.4x more libraries than expected

🎯 Next Phase: Telemetry System Update

Action Required: Update ldd2wrap_all_calls.rs to use real build data Input: real_build_1768332029_binaries.json (32 real binaries) Expected Result: Accurate telemetry matching strace captures

🚀 Structured Telemetry System

Proven Results ✅

• 456 symbols extracted using goblin ELF parser vs 38 with nm
• Script wrapper following - rustc wrapper → real rustc binary (3 symbols)
• Structured JSON logging to /mnt/data1/meta-introspector/data/telemetry/
• Project-based organization with PROJECT_NAME environment variable

Key Innovations

1. Goblin ELF Parser - Replaces nm for accurate Rust binary symbol extraction
2. Script Wrapper Following - Follows bash script wrappers to find real binaries
3. Structured JSON Logging - Timestamped JSONL files with project organization
4. Real Symbol Counts - No more hardcoded fake numbers, actual goblin parsing
5. Shell Script Integration - nix_rebuild_telemetry.sh for complete capture

Symbol Extraction Results

• rustc wrapper: 0 libs, 3 symbols (script → real binary)
• gcc wrapper: 0 libs, 50 symbols (script → real binary)
• usr/bin/as: 2 libs, 50 symbols (goblin vs 6 with nm)
• Total: 456 symbols vs 38 with nm (12x improvement)

🎯 Telemetry Architecture

Macro-Based Telemetry (master_all_calls_allcalls_1768325605.rs)

• Real counts: 14 binaries, 39 libraries, 456 symbols
• Structured logging: JSON with timestamp, project, binary counts
• Build-time generation: ldd2wrap creates wrappers with actual data
• Zero runtime overhead: Compile-time macro expansion

LD_PRELOAD Interceptor (rust_preload_interceptor)

• Rust cdylib: Using redhook for malloc/execve/fopen hooks
• JSON logging: Structured telemetry to timestamped files
• Process tracking: PID and timestamp for each call
• Memory safety: Rust implementation vs C-based interceptor

Shell Script Integration (nix_rebuild_telemetry.sh)

• Project organization: PROJECT_NAME environment variable
• Dual telemetry: Both LD_PRELOAD and macro-based capture
• Log aggregation: Combined output with structured file organization
• Nix rebuild capture: Real telemetry from actual build processes

🎯 Scaling Strategy: Multi-Tier Repository Analysis

Repository Selection Complete ✅

• 18 repositories selected across 4 complexity tiers
• Basic Tier (5): ripgrep, fd, bat, exa, starship - CLI tools and simple libraries
• Intermediate Tier (5): tokio, actix-web, serde, hyper, warp - frameworks and async systems
• Advanced Tier (4): tikv, servo, swc, polkadot - compilers, databases, OS components
• Expert Tier (4): rust, miri, chalk, prusti-dev - compiler internals and formal verification

Comprehensive Analysis Layers

1. Bit-Level: Datatype Markov models (7 primitives, 251K instances)
2. Value Lattice: 14,316 unique literals, 117-char convergence point
3. Type Structure: Enum/struct patterns, composition analysis
4. Instance Patterns: 173 unique types, 326 instantiations analyzed
5. Semantic Signatures: 289,795 instruction blocks, 97.3% unique code
6. Grammar Compression: 93-96% space savings with direct querying

🚀 Core Analysis Systems

Grammar-Based Compression (grammar_rust_compressor.rs)

• Sequitur algorithm for lossless compression with direct pattern queries
• 93.3% space savings proven on 1000 rust-build files
• No decompression needed for pattern searches and frequency counting
• Token-based representation with pattern dictionaries

Rustc Build Interceptor (rustc_interceptor.rs)

• Hijacks cargo build process using RUSTC environment variable
• Real-time compression during compilation without affecting build
• 124 files processed with consistent 94-96% compression ratios
• Metadata passthrough for cargo compatibility

Syn-Based Declaration Compressor (syn_compressor.rs)

• AST-level parsing using syn crate for accurate Rust analysis
• Real function names: outline, defer, make_display, drop, disable
• 97.2% compression (3,826 bytes → 106 bytes) with semantic preservation
• Declaration-level granularity for fine-grained analysis

Crossbeam Value Lattice Analyzer (crossbeam_rustc_analyzer_complete.rs)

• 20-core parallel processing with bounded channels (1000 capacity)
• Depth-limited recursion (max 10 levels) with path filtering
• Stack overflow protection and error recovery
• Thermal work measurement - CPU temperature delta tracking

Semantic Signature Generator (semantic_signature_generator.rs)

• 4-layer analysis: ABI + Security + Type + Meaning signatures
• 153 binaries processed with full semantic profiles
• 97.3% unique code - Only 2.7% duplication (mostly stdlib)
• 88.4% more novel functions than standard rustc components

🔧 Infrastructure Tools

Batch Job Runner (batch_runner.rs)

• Generic job execution with JSON configuration
• Timeout handling and output redirection
• Dependency tracking for complex workflows
• Summary statistics and timing analysis

Declaration Archiver (archive_declarations.rs)

• Individual declarations saved as separate JSON files
• Nice filenames: 043_fn_drop_113_120_176b_to_16b.json
• Tar.gz packaging to save inodes (52 files → 1 archive)
• Real string names extracted from syn parsing

Directory Structure

Top-Level Domains (TLDs)

• com/ - Commercial domains (98.3% - 56,155 repos)
• org/ - Organizations (1.4% - 775 repos)
• co/ - Modern startups (0.2% - 123 repos)
• fr/, cz/, de/ - Regional domains
• io/, dev/, net/ - Tech-focused domains
• edu/, us/ - Educational and government

Major Repository Hosts

• com/github/ - GitHub (55,752 repositories - 97.6%)
• com/googlesource/ - Google projects (Chromium, Android)
• co/huggingface/ - AI/ML models (115 repositories)
• org/freedesktop/ - Desktop Linux (472 repositories)
• org/gitlab/ - GitLab projects (90 repositories)

Analysis Results

• analysis/ - Comprehensive analysis reports with parallel processing
• split-decls/ - Split declarations projects (13 found!)
• rust-ecosystem/ - Rust-specific analysis (42K Cargo.toml, 1.47M .rs files)
• tld-stats/ - Domain statistics and breakdowns
• compressed_declarations/ - Grammar-compressed Rust declarations
• syn_compressed_declarations/ - Syn-based AST compression results

Key Findings

• GitHub Dominance: 97.6% of repositories hosted on GitHub
• Split-Decls Active: 13 repositories using split-decls-rs
• Massive Rust Ecosystem: 1.47M Rust files, 42K projects
• Enterprise Presence: Google, GNU, Freedesktop integration
• Semantic Richness: 21,349 AST nodes vs 1,990 in standard rustc (10x more)
• Compression Breakthrough: 93-96% space savings with queryable grammar compression
• Real-time Processing: Cargo build interception for seamless compression

2025 Activity Highlights (from Investor Report)

• Total Commits: 337
• Files Changed: 2,689
• Lines Added: +693K
• Lines Removed: -95K
• Top Repository: ai-agent-terraform (143 commits)

Analysis Programs

Compression & Grammar Systems

• grammar_rust_compressor.rs - Sequitur-based queryable compression (93.3% savings)
• syn_compressor.rs - AST-level compression with real names (97.2% savings)
• rustc_interceptor.rs - Cargo build hijacking for real-time compression
• archive_declarations.rs - Declaration packaging with nice names
• prove_compression.rs - Compression proof on 1000 files
• batch_runner.rs - Generic job execution system

Core Analyzers

• crossbeam_rustc_analyzer_complete.rs - 20-core parallel analyzer with protections
• semantic_signature_generator.rs - 4-layer semantic analysis (ABI+Security+Type+Meaning)
• split_decls_applicator.rs - Automatic code layer separation system
• duplicate_block_detector.rs - Code duplication analysis across binaries
• basic_block_analyzer.rs - Instruction block novelty analysis

Specialized Tools

• monster_group_connection.rs - Mathematical analysis connecting rustc to Monster Group theory
• value_lattice_streaming.rs - Memory-optimized streaming analyzer for massive codebases
• thermal_monitor.sh - CPU temperature-based computational work measurement
• run_job_queue.sh - Parallel job queue for analyzing multiple repositories

Data Collection

• recent_commits_scanner.rs - Scan repositories by recent activity
• commits_by_user.rs - Analyze commit patterns by user
• local_commit_cache.rs - Fast local-only commit caching
• https_commit_fetcher.rs - Remote commit fetching with SSH to HTTPS conversion

Reporting and Visualization

• investor-report-2025.rs - A Rust program that aggregates Git activity data, calculates statistics (total commits, files changed, insertions, deletions, monthly repo matrix, top repositories), and generates a JSON report for 2025.
• investor-report-2025.html - An HTML document that visually presents the summarized 2025 Git activity data, including overall statistics, a month-by-repository activity matrix, and top 10 repositories, styled as an annual report.

Results

• 289,795 unique instruction blocks catalogued across 153 binaries
• 97.3% unique code with minimal duplication
• 88.4% more novel functions than standard rustc components
• Thermal work measurement - +5°C temperature delta from intensive analysis
• Grammar compression - 93-96% space savings with direct querying
• Declaration archives - Individual compressed declarations with real names