AICode is an AI coding assistant that speeds up legacy software delivery by moving code review before generation, achieving 10x to 200x faster.
Developer & AI Platformai-code.aiTracked since 2026-08-211 discovery source
209Backlinks
38Referring domains
32Domain authority
Authority & distribution
How strong is AICode’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
209Current snapshot
Referring domains
38Current snapshot
Authority
32Domain authority · category median 22
At 32, AICode sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 72 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“AICode”
AICode is an AI coding assistant that speeds up legacy software delivery by moving code review before generation, achieving 10x to 200x faster.
Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
5 of 8 signal groups are available for this product: identity, traffic and engagement, authority and backlinks, AI referrals, search demand.
Not measured for this domain: audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://ai-code.ai/
Observed across 1 discovery source.
Research questions
What the evidence answers about AICode.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does AICode do and what problem does it solve?
AICode is an AI coding assistant that speeds up legacy software delivery by moving code review before generation. It solves the problem of human code review being a bottleneck, achieving 10x to 200x faster development. The product checks code intent before generation, making control 100x cheaper.
What features, surfaces, or integrations does AICode offer?
AICode offers a spec-driven workflow (Ideate → Specify → Refine → Code → Verify), a five-dimensional codebase index, and an AI that audits and corrects errors across multiple verification passes. It is installable on the VS Code Marketplace.
How is AICode priced or packaged?
The evidence does not provide specific pricing or packaging information for AICode. It is described as an AI coding agent available for installation on the VS Code Marketplace.
What is AICode used for and in what situations?
AICode is used for code generation, audit, and accelerating delivery of legacy software systems. It is suitable for situations involving deep architectural debt, poorly documented codebases, and for onboarding developers to unfamiliar systems. It uses a five-dimensional index to understand entire codebases in depth.
Who is AICode for?
AICode is for solo developers and small teams facing deep architectural debt in legacy software. It targets developer workflows within the 'Developer & AI Platform' category, helping delivery processes become more immune to turnover.
What is AICode?
AICode is an AI coding assistant categorized under 'Developer & AI Platform'. It is designed to accelerate software delivery by performing code review and control before code generation, rather than after.
Behind the lock
Unlock full AICode intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 72.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
Traffic and engagementMonthly visits, the history behind them, and what visitors do once they arrive.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured