Developer InfrastructurePyPI Package: logicfalconAutomated Tests: 101 passed

LogicFalcon — AI-Powered Code Review & Developer Intelligence Package

Modular Python code review engine with CLI, SDK, and Model Context Protocol (MCP) interfaces, AST analysis, and safe remediation.

Verified Milestone:101/101 tests passed · 3 interfaces (CLI, SDK, MCP) · 10 safe remediation acceptance checks
Published Python Package · PyPI Distribution
Distribution:logicfalcon

This project is authored and published strictly as an in-process Python library on the Python Package Index. It does not require a hosted dashboard or cloud service — executing natively within the consumer's application runtime.

View RepositoryPyPI Package
$pip install logicfalcon
Technologies:PythonAST AnalysisCLISDKMCPRuffSARIFGitHub ActionspytestPydantic
LogicFalcon
LogicFalcon System Interface

Problem Statement

Developer tools and AI coding assistants frequently propose automated code changes without verification, risking destructive overwrites, directory traversal, broken syntax, or unvetted logic errors in production codebases.

Engineering Goals

  • Provide 3 seamless interfaces: CLI, SDK, and Model Context Protocol (MCP) for modern AI-assisted engineering.
  • Implement automated file and workspace analysis with structured findings and severity ratings.
  • Guarantee safe remediation with 10 strict acceptance checks including path containment and rollback.
  • Achieve 100% test pass rate across core review, security, and CLI modules.

LogicFalcon — System ArchitectureVerified Pipeline

Select any pipeline stage below to inspect verified engineering details and data flow.

5 Stages

Stage: Developer Interfaces

Role: Access Layer
Stack: CLI / SDK / Model Context Protocol (MCP)

Provides terminal commands, importable Python classes, and MCP tools for AI coding assistants.

Inbound:Diagnostics & SARIF Exporter(SARIF / JSON / Terminal)
Outbound:AST & Syntax Parser(File/Workspace Query)

Execution Pipeline & Mechanics

01

Multi-Interface Ingestion

Accepts review requests via CLI flags, Python method calls, or Model Context Protocol tool invocations.

02

AST & Heuristic Analysis

Constructs syntax trees to detect dead code, insecure patterns, and type inconsistencies without runtime risk.

03

Safety-Gated Remediation

Executes 10 acceptance checks: path containment, symlink traversal prevention, dry-run diff generation, approval confirmation, and automated backup.

04

SARIF & Diagnostic Export

Generates machine-readable SARIF 2.1.0 outputs compatible with GitHub Security tabs and CI/CD quality gates.

Engineering Challenges & Design Decisions

Decision: In-process AST and Ruff analysis instead of running dynamic code execution.

Rationale: Dynamic execution introduces severe security and sandbox vulnerability risks on untrusted repositories.

Alternative Rejected: Running untrusted code in an unisolated runtime.

Decision: Strict fail-closed approval requirement for all automated file edits.

Rationale: Prevents accidental mass-modification or developer data loss when running automated review scripts.

Alternative Rejected: Silent in-place file mutation.

Core Architectural Highlights

LogicFalcon uses a modular architecture where the Analysis Core parses Python AST and coordinates with Ruff rule-checking. Proposed fixes pass through a fail-closed Remediation Governor that creates atomic file backups and enforces path boundaries before any write occurs. Results are surfaced via CLI, Python SDK, or MCP server with SARIF and JSON export options.

•3 unified interfaces: CLI, SDK, and Model Context Protocol (MCP).
•10 verified safety acceptance checks for approval-controlled code remediation.
•101/101 automated Python tests passing with zero failures.
•SARIF 2.1.0 and machine-readable JSON output for CI/CD automation.
•Prepared version 0.1.2 release artifacts (wheel and source distribution) with clean virtual-environment verification.

Testing & Empirical Evaluation

Comprehensive pytest suite verifying AST visitor correctness, CLI flag parsing, MCP server protocol adherence, and edge-case error recovery.

Result #1
101 / 101 tests passed (100% test pass rate)
Result #2
10 safe remediation acceptance checks verified
Result #3
Zero path traversal vulnerabilities (symlink protection enabled)

Security & Reliability Defenses

Path containment checks prevent edits outside targeted workspace directories.
Symlink traversal protection blocks malicious link-following attacks.
Atomic backup creation prior to any file mutation with automatic rollback on failure.
Post-fix re-analysis verifies that proposed fixes do not introduce new syntax errors.

Key Engineering Learnings

  • •Providing an MCP interface allows AI coding assistants like Claude or Cursor to leverage deterministic linting tools as first-class tools.

Local Reproduction & Setup Commands

$pip install logicfalcon
$logicfalcon review ./src
$from logicfalcon import ReviewEngine
$engine = ReviewEngine()
$report = engine.review_workspace('./src')