The TekWeave Platform

AI Inference Engine

At the core of TekWeave is a fine-tuned model trained on millions of real-world project configurations. When you open a project, the engine analyzes your package manifests, test files, and existing Docker configs to build a dependency graph. From that graph, it generates an optimized container stack — choosing the right base images, resource limits, and network topology for your specific workload.

You can steer the output with a plain-English prompt in your tekweave.json, or accept the AI's recommendation with a single click. The model learns from corrections you make over time, improving its suggestions for your codebase.

Container Abstraction Layer

TekWeave speaks natively to Docker Engine, Colima, Rancher Desktop, Lima, and Podman. You write one environment definition; TekWeave translates it to the appropriate runtime API on the developer's machine. Runtime selection can be explicit or set to "auto", which picks the available runtime in order of preference.

On team plans, the runtime used to generate a snapshot is recorded alongside the environment definition, so CI and local runs always use a compatible stack.

Environment Registry

Every environment definition your team creates is stored in TekWeave's hosted registry, versioned like source code. Definitions are tied to branches — merge a feature branch and the environment spec merges with it. Roll back a deploy and the registry rolls back too.

Access control is at the environment level. Mark a database seed as internal and only engineers with the right role can pull it. Public environments can be shared across organizations via the TekWeave Marketplace.

Snapshot & Restore

Running environments can be snapshotted at any point — capturing container filesystem state, in-memory data, and open network connections. Snapshots are stored compressed in your registry and restore in under 3 seconds on modern hardware. Use snapshots to pin a known-good database state before running destructive tests, or to hand off a half-completed debug session to a teammate.

Observability

Every container TekWeave manages emits structured logs, resource metrics, and health check results directly into the IDE sidebar. Spot a memory leak before your test suite finishes, or correlate a failed assertion with a container restart — without leaving your editor. Log streams can also be forwarded to Datadog, Grafana, or any OpenTelemetry-compatible backend.