Introduction
Kernax is an autonomous AI-native code editor designed for deep context, high-speed execution, and strict codebase privacy.
Architecture Overview
Kernax is an autonomous AI-native Integrated Development Environment (IDE) built to analyze large-scale codebases, execute multi-file refactorings, and orchestrate background pipelines under an uncompromising zero source code retention policy.
Traditional AI coding extensions attempt to send entire thousand-line source files across third-party networks, causing token truncations, hallucinated brackets, and critical security disclosures. Kernax eliminates these structural flaws by fusing local Tree-sitter AST parsing with stateless, zero-training inference routing.
Mission Control & Pipelines
Dispatch asynchronous background coding jobs with cron scheduling and isolated git branch verification.
99.9% AST Precision
Tree-Sitter syntax analysis prevents file truncation and corrupted syntax brackets on large monorepos.
Strict Zero Retention
Proprietary source code is never cached, logged, or used to fine-tune commercial foundation models.
Core Engineering Pillars
Every subsystem in Kernax is engineered around three foundational commitments:
- 1. Local AST Graph Processing: Codebase mapping occurs directly inside your local environment via Tree-sitter AST syntax graphs. Only the minimal AST nodes and file slices required to complete your active task traverse our encrypted gateway.
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2. Stateless Inference Gateways: Kernax acts as an ephemeral orchestration layer. Workloads are routed to enterprise commercial providers—including Fireworks AI and OpenRouter—strictly configured with non-training flags (
data_collection: deny). -
3. Hard-Lock Execution Guardrails: Autonomous agents never possess unchecked shell privileges. Destructive terminal commands (such as
rm -rforDROP TABLE) are hard-blocked locally prior to execution without explicit user consent.
Closed Beta Batch #1 Access
If you haven't received your beta credentials yet, you can join the waitlist directly from the Request Beta Access portal. Invitations are distributed weekly as GPU inference cluster capacity expands.
Next Steps
Ready to get started? Proceed to the Quickstart Guide to install the desktop client and link your account via deep-link authentication.