AI
AI coding for legacy systems, with architecture checks built in
AICode is a VS Code extension for enterprise teams working in large legacy codebases. It maps dependencies and architecture, audits specifications before coding, and keeps changes reviewable inside your infrastructure.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →
Enterprise
Chrome Extension
B2B
IDE Extension
MCP Support
Hybrid
Copilot (Human-in-Loop)
About
What It Is
What to Know
Key Features
5D codebase indexing for dependencies, modules, architecture, and side effects
Specification drafting from an ideation session
Specification auditing before code generation
Refine loops that re-check the spec against the codebase
Generates code in a virtual workspace
Use Cases
Maintaining large legacy enterprise systems with limited documentation
Reviewing architectural changes before implementation
Reducing regressions in high-risk production codebases
Agenticness
: Adaptive Collaborator
Proposes and executes multi-step plans with your approval.
High evidence
Last evaluated:
Jul 31, 2026
Dimension Breakdown
Action Capability
Autonomy
Planning
Adaptation
State & Memory
Reliability
Interoperability
Safety
Operator Sovereignty
Categories
Details
AddedJuly 2, 2026
RefreshedAugust 18, 2026
Agenticness
Quick Facts
DeploymentHybrid (cloud + self-hosted)
AutonomySemi-autonomous
Model supportSingle model
Open sourceNo
MCP supportYes
Team supportEnterprise
Pricing modelSubscription
Interfaceide
Sources
Last updated
August 18, 2026
Free daily brief
When AICode changes its pricing, we catch it the next morning
We recrawl every tool in this directory daily. AI Insider is the 3-minute brief on what actually changed — pricing, features, score moves on our 36-point rubric — often before any press coverage. Sent daily. Skipped when nothing happened.
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