The Core Purge & The Network Bridge 🌐
The journey from Sprint 181 to 186 represents a profound shift in what KnotenCore is capable of. We bridged the gap to the external web while simultaneously executing the largest architectural cleanup in the engine's history. Here is how we did it.
🌐 The Network Bridge & Telemetry Dashboard
Starting in Sprint 181, KnotenCore was granted the power to reach out to the network securely. Using the new network_get(url) function, governed by the strict --allow-net sandbox permission, agents can now fetch live data. To showcase this, we built a modular Telemetry Dashboard (examples/dashboard.knoten) that pulls mock system data and renders it natively through our immediate-mode UI framework.
In Sprint 182, we added deep JSON processing (json_parse, json_stringify), allowing scripts to gracefully navigate massive API payloads with native dot-notation (payload.system.cpu.usage), automatically falling back to Void if a key goes missing. No crashes.
🧹 The Core Purge (Sprint 186)
As the engine matured, the legacy Voxel rendering subsystems became architectural dead weight. They complicated the AST, bloated the AI context window, and distracted from the core General-Purpose capability of the engine. In Sprint 186, we initiated The Core Purge.
- Over 1,500 lines deleted: Legacy JSON schemas, outdated documentation (`knoten_ai_context_v124.md`), and massive voxel demo worlds were purged from the repo.
- AST Reduction: All 7 Voxel-specific AST Node variants were successfully stripped from the compiler, executor, and optimizer.
- AI Context Optimization: By cleaning up the EBNF grammar and JSON schemas, we dramatically reduced the token bloat for LLM agents generating `.nod` code.
The result is a laser-focused, highly efficient codebase where the Agent Context is perfectly synced with the actual engine capabilities. Less noise means higher accuracy for AI code generation.