Ingest & Parse AST
Turn repository-scale source code into a connected, language-aware dependency graph.
CONTEXT, NOT CHUNKSTitan Code AI ingests repository-scale AST graphs to resolve deep cross-file dependencies, eliminate technical debt, and automate legacy migrations with zero regression.
Private beta. No credit card. Just better code.
Scanning 1,420 source files across 8 microservices...
Constructing dependency graph via AST parser...
Claude 3.5 Sonnet: Resolving circular dependency in auth/session.py
Deterministic checks passed: 48/48 unit tests green.
from typing import TYPE_CHECKINGfrom auth.models import Sessionfrom auth.service import AuthServicefrom auth.ports import SessionStoreif TYPE_CHECKING: from auth.models import Sessionclass SessionManager: def __init__(self): self.auth = AuthService() def __init__(self, store: SessionStore): self.store = storeTHE CORE ARCHITECTURE
Built to understand systems. Engineered to change them safely.
A closer look at the sample session above.
Illustrative demo metrics. Independent performance benchmarks will be published during beta.
FROM REPOSITORY TO PULL REQUEST
Three deliberate stages. One radically better codebase.
Turn repository-scale source code into a connected, language-aware dependency graph.
CONTEXT, NOT CHUNKSPlan architectural changes with full context. Refactor interfaces and downstream callers together.
SYSTEM-LEVEL REASONINGRun deterministic checks. Ship a clean, reviewable pull request into your existing workflow.
VERIFIED, THEN COMMITTEDBUILD WHAT’S NEXT. FIX WHAT’S BEHIND.
Give your engineers their most valuable resource back. Focus.
Request Beta Access Built for engineering teams that build at scale.