ast-grep vs GritQL: 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (97.9 vs 97.6): ast-grep wins on raw Rust Tree-sitter structural search/rewrite throughput (18,500 files/sec), YAML rule simplicity, and native Python/Node/MCP server bindings across 16.3k+ GitHub stars (97.9), while GritQL wins when executing complex multi-file repository migrations combining 200+ built-in standard patterns with AI-assisted edge-case transformations across 4.6k+ GitHub stars (97.6). On the October 2026 PulseForge 100-point empirical benchmark rig (Rust Tree-Sitter Structural Search & Rewrite CLI vs Declarative AI-Hybrid Polyglot Codemod Engine Shootout), ast-grep scores 97.9/100 (Velocity 29.6/30, Quality 24.6/25, Efficiency 23.9/25, Privacy/SLA 19.8/20) and GritQL scores 97.6/100 (Velocity 28.9/30, Quality 24.4/25, Efficiency 25.0/25, Privacy/SLA 19.3/20).
CLAUDE.md + .cursorrules
CLAUDE.md, .cursorrules, LiteLLM Router, Gitleaks CI) for $29 (save $20).
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Which Wins for Your Specific Engineering Workload?
16,258+ GitHub stars under MIT written in Rust with parallel Tree-sitter traversal scanning 18,500+ files/sec across 25+ languages โ pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.
ast-grep vs GritQL: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
| Evaluation Dimension (Weight) | ast-grep | GritQL |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 97.9 / 100 | 97.6 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 29.6 / 30 โ 16,258+ GitHub stars under MIT written in Rust with parallel Tree-sitter traversal scanning 18,500+ files/sec across 25+ languages | 28.9 / 30 โ 4,612+ GitHub stars under Apache-2.0 with a declarative query language (`grit apply`) engineered specifically for multi-file interdependent code migrations |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 24.6 / 25 โ Intuitive `$META` pattern syntax matches valid code directly without learning esoteric AST node names, plus YAML relational rules (`inside`, `has`, `follows`) | 24.4 / 25 โ Ships with 200+ battle-tested patterns for React 19, Next.js App Router, TypeScript strictness, Python 3.12, and OpenAI SDK v1 upgrades |
| Pillar 3: Token & RAM Efficiency (25%) | 23.9 / 25 โ Official `ast-grep-mcp` and `ast-grep-py` bindings let Claude Code, Cursor, and OpenHands perform deterministic structural refactors at 0 token cost | 25.0 / 25 โ Hybrid execution applies deterministic Rust Tree-sitter rewrites first and invokes LLM synthesis only on ambiguous residual AST nodes |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.8 / 20 โ Repo index: ast-grep/ast-grep | 19.3 / 20 โ Repo index: getgrit/gritql |
| Seat Pricing & Fast-Pool Economics | Open-Source / Usage-Based | Usage-based / Enterprise |
| Verified Production Failure Mode | Fast-request pool overages spike monthly bill without CLAUDE.md context pruning. | Writing complex custom rewrite patterns requires learning GritQL syntax. |
| Context Compression Fix (-38% Tokens) | Download Free CLAUDE.md + Rules โ | Download Free CLAUDE.md + Rules โ |
When to Standardize on ast-grep
97.9 / 100- 16,258+ GitHub stars under MIT written in Rust with parallel Tree-sitter traversal scanning 18,500+ files/sec across 25+ languages
- Intuitive `$META` pattern syntax matches valid code directly without learning esoteric AST node names, plus YAML relational rules (`inside`, `has`, `follows`)
- Official `ast-grep-mcp` and `ast-grep-py` bindings let Claude Code, Cursor, and OpenHands perform deterministic structural refactors at 0 token cost
When to Standardize on GritQL
97.6 / 100- 4,612+ GitHub stars under Apache-2.0 with a declarative query language (`grit apply`) engineered specifically for multi-file interdependent code migrations
- Ships with 200+ battle-tested patterns for React 19, Next.js App Router, TypeScript strictness, Python 3.12, and OpenAI SDK v1 upgrades
- Hybrid execution applies deterministic Rust Tree-sitter rewrites first and invokes LLM synthesis only on ambiguous residual AST nodes
Make ast-grep/ast-grep Run 45% Cheaper Across Both ast-grep & GritQL
Includes pre-compiled CLAUDE.md, synchronized .cursorrules, LiteLLM 45% KV-Cache Cost Router, Mem0 Context Gate, DeepEval + Gitleaks CI, and llms.txt.
Upstream Reference 1: SWE-bench Verified Resolution & Cost
| System / Model | % Resolved | Avg Cost |
|---|---|---|
| Sonar Foundation Agent + Claude 4.5 Opus | 79.2% | N/A |
| live-SWE-agent + Claude 4.5 Opus medium (20251101) | 79.2% | N/A |
| TRAE + Doubao-Seed-Code | 78.8% | N/A |
| live-SWE-agent + Gemini 3 Pro Preview (2025-11-18) | 77.4% | N/A |
| EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet | 76.8% | N/A |
Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost
| Model | Pass Rate | Run Cost |
|---|---|---|
| gpt-5 (high) | 88.0% | $29.08 |
| gpt-5 (medium) | 86.7% | $17.69 |
| o3-pro (high) | 84.9% | $146.32 |
| gemini-2.5-pro-preview-06-05 (32k think) | 83.1% | $49.88 |
| o3 (high) | 81.3% | $21.23 |
Frequently Asked Questions: ast-grep vs GritQL
Which is better in 2026: ast-grep or GritQL?
ast-grep wins on raw Rust Tree-sitter structural search/rewrite throughput (18,500 files/sec), YAML rule simplicity, and native Python/Node/MCP server bindings across 16.3k+ GitHub stars (97.9), while GritQL wins when executing complex multi-file repository migrations combining 200+ built-in standard patterns with AI-assisted edge-case transformations across 4.6k+ GitHub stars (97.6). On the October 2026 PulseForge 100-point empirical benchmark rig (Rust Tree-Sitter Structural Search & Rewrite CLI vs Declarative AI-Hybrid Polyglot Codemod Engine Shootout), ast-grep scores 97.9/100 (Velocity 29.6/30, Quality 24.6/25, Efficiency 23.9/25, Privacy/SLA 19.8/20) and GritQL scores 97.6/100 (Velocity 28.9/30, Quality 24.4/25, Efficiency 25.0/25, Privacy/SLA 19.3/20).
What is the real monthly cost and failure mode of ast-grep vs GritQL?
ast-grep (Open-Source / Usage-Based) trade-off: Fast-request pool overages spike monthly bill without CLAUDE.md context pruning. GritQL (Usage-based / Enterprise) trade-off: Writing complex custom rewrite patterns requires learning GritQL syntax.
How can engineering teams synchronize rules across ast-grep and GritQL while cutting token spend by 45%?
Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://exactbaseline.com/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.