AI Native Engineer · harness engineering for agentic AI
the flesh is weak — let the machine iterate
┌──────────────────────────────────────────────────────────────────┐
│ Harness Engineering · Agentic AI · Physical AI · Edge · KB │
└──────────────────────────────────────────────────────────────────┘
role: AI Native Engineer
org: @Kongnitive # owner — github.com/Kongnitive
method: harness engineering # how — build the runtime / scaffold
payload: agentic AI # what — runs inside the harness
loops:
├── agent runtimes ⇆ simulation feedback
├── local devices ⇆ knowledge bases
└── tools · memory · constraints
creed: flesh is weak; mass of silicon shall ascend
goal: close practical engineering loops with reusable harnesses| Track | Description |
|---|---|
| 🛠 Harness Engineering | Building runtimes / scaffolds that let AI iterate on real systems safely |
| 🧠 Agentic AI | MCP tools, runtime feedback, hot deployment, self-iteration |
| 🤖 Physical AI | Simulation-in-the-loop runtime for repeatable robot behavior development |
| 📡 Edge AI / HW | ESP32, BLE bridges, local-first device state sync |
| 📚 Knowledge Eng. | Foundry-style semantic layer for agent-facing knowledge bases |
| 🎓 Learning | Model distillation and edge deployment |
▍ Kongnitive Harness · ↗
Simulation-in-the-loop runtime for robot AI development.
┌───────┐ patch ┌──────────────┐ deploy ┌────────────┐
│ AI │──────────▶ │ ROS2 Nodes │──────────▶ │ Simulation │
└───────┘ └──────────────┘ └─────┬──────┘
▲ │
└──────────── metrics · logs · traces ◀────────────┘
AIgenerates or patches ROS2 behavior nodesRuntimehot-deploys nodes — no full rebuild / restartSimemits structured metrics, logs, and failure tracesLoopfeeds the trace back into the next iteration
▍ Kongnitive ESP32 Harness · ↗
MCP base layer on ESP32.
firmware (stable) ──────────────────────────────
│
└── Lua runtime ◀── AI agent ──▶ logs / deps / iterate
(no reflash)
Firmware stays stable while AI agents update device logic through Lua scripts, inspect logs, switch dependencies, and iterate hardware behavior without repeatedly reflashing firmware.
▍ Codex Buddy Bridge · ↗
Codex Desktop ⇄ ESP32 companion, over local MCP + BLE.
┌──────────────┐ MCP ┌────────┐ BLE ┌───────────┐
│ Codex Desktop│ ───────▶ │ Plugin │ ───────▶ │ ESP32 Dev │
└──────────────┘ └────────┘ └───────────┘
Syncs work state, permission prompts, recent activity, and token counters. Local-first — no cloud dependency.
Foundry-style semantic layer for agent-facing knowledge bases.
operational objects ─┐
relationships ├─▶ ontology-backed semantic layer ─▶ agents / apps
actions │
governance rules ┘
Maps domain operations into an ontology-backed interface so agents can work with business objects, relationships, actions, and governance rules instead of loose document chunks.
+ Start from the actual problem; keep the first implementation small
+ Prefer readable systems, clear boundaries, observable behavior
+ Close the loop with tests, smoke checks, logs, metrics
+ Treat agents as engineering systems: tools · feedback · memory · constraints
+ Improve incrementally; avoid broad rewrites by default-
distillation/— deployable local intelligence -
edge-infer/— hardware-aware deployment -
sim2real/— hardware-in-the-loop workflows -
ontology/— semantic layer for agent applications -
mcp-ctrl/— runtime control planes for tools, robots, devices
from carbon to silicon · closing the loop