An AI agent that edits your codebase, runs your test suites, and fixes its own compiler errors.
Aether indexes your repository into an Abstract Syntax Tree (AST), plans a multi-file change, then runs a closed correction loop against your real tests — re-reading stack traces and patching until the suite is green.
Context Engine: AST-indexed retrieval, not fuzzy grep.
Every symbol resolves to its definition and callers. Hover any file to trace its import graph and see the exact context window Aether would assemble — token budget included, before a single edit is planned.
Aether walks the dependency graph outward from the target symbol, stopping when marginal relevance drops below threshold — so the window stays dense, not padded.
SWE-bench comparison matrix.
Sampled on a fixed 300-task internal harness derived from SWE-bench Verified. Toggle the metric to compare resolved-rate accuracy, runtime cost per task, and token efficiency across agents. Best-in-class is highlighted per metric.
Seats & self-hosted runners.
Per-seat access to the agent, plus self-hosted runners that execute the deterministic loop inside your own VPC — your source never leaves the perimeter. Size it below; the total recomputes live.
Self-hosted runners deploy via Helm into your cluster. Source, ASTs and traces stay inside your VPC; only anonymized eval telemetry is returned.