Product Strategy · April 3, 2026 · 7 min read

The Full AI Code
Governance Stack

Snyk Evo covers the security half of AI-assisted development. Nobody covers the maintainability half — the slow accumulation of intent drift, hidden coupling, and technical debt that AI-generated code accelerates. We built both.

The question nobody asks

Enterprise AI security tools — Snyk Evo, Veracode, Semgrep — answer: Is this code safe to ship?That is the right question. But it is not the only question a team building with AI needs to answer.

The second question is: Will we still understand this code in six months?

AI coding assistants generate correct, safe-enough code on the first pass. The problem compounds over time: intents drift from implementations, modules couple unexpectedly, and the codebase develops organizational opacity that slows every subsequent change. Security tools do not measure this. Static analysis cannot detect it. It requires a different layer entirely.

Two layers, one governance picture

Security layer

CodeSlick

Is this AI-generated code safe to ship?

What it checks
306 security checks · 19 MCP-specific checks · Secrets detection · Dependency scanning · AI-BOM
When it runs
Pre-commit (CLI) · PR time (GitHub App) · Generation time (MCP Server in Cursor/Claude)
Maintainability layer

Endure

Will we still understand this code in 6 months?

What it checks
Intent drift detection · Coupling analysis · Technical debt scoring · Antifragility knowledge base
When it runs
Continuous background analysis · On-demand repo reports · Brownfield AI audit

How this compares to Snyk Evo

Snyk Evo is an excellent product. It covers AI-BOM, red teaming, MCP skill scanning, and orchestration agents. It is enterprise-priced, CISO-first, and currently in design-partner phase.

CodeSlick and Endure address the parts Evo does not:

Developer-first deploymentOne line in mcp.json vs Jamf MDM
MCP server implementation scanningCodeSlick scans MCP server code; Snyk scans agent behavior
Free entry pointOwn API key or no key for static analysis; Evo requires enterprise sales
Maintainability governanceEndure tracks intent drift and coupling over time; Evo has no equivalent
Version-controlled security policy.codeslick.yml lives in the repo; Evo policy is CISO-pushed via Jamf

The practical governance picture

A team building with AI coding tools — Cursor, Claude Code, GitHub Copilot — generates code faster than any previous workflow. The risk is proportionally faster: security vulnerabilities enter the codebase faster, technical debt accumulates faster, and the gap between intended behavior and actual implementation widens faster.

CodeSlick catches the security problems at the point of generation (MCP Server), at commit time (CLI pre-commit hook), and at PR time (GitHub App). It also gives you a Shadow AI Footprint: a map of which AI providers, models, and MCP tools are present in your codebase, commit by commit.

Endure tracks the other dimension — whether the code still matches its intended purpose six commits later. When AI generates a function that drifts from its original intent through subsequent edits, Endure surfaces it. When two modules couple unexpectedly because AI generated them without awareness of each other, Endure catches the coupling before it becomes load-bearing.

Both products. One governance picture.

Start with CodeSlick for free. Endure is in private beta — reach out if you want to run it on your codebase.

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