https://jerma88.github.io/tags/rust/RustHugo Blox Builder (https://hugoblox.com)en-usWed, 01 Oct 2025 00:00:00 +0000https://jerma88.github.io/media/icon_hu_982c5d63a71b2961.pnghttps://jerma88.github.io/tags/rust/https://jerma88.github.io/project/custom-ai-ide-runtime/Wed, 01 Oct 2025 00:00:00 +0000https://jerma88.github.io/project/custom-ai-ide-runtime/<h1 id="custom-ai-development-ide--agent-runtime">Custom AI Development IDE &amp; Agent Runtime</h1> <h2 id="overview">Overview</h2> <p>Architected a modular, extensible AI development environment and distributed agent runtime designed to orchestrate complex, multi-turn tool-calling workflows across heterogeneous local and cloud LLMs. The platform integrates Anthropic&rsquo;s <strong>Model Context Protocol (MCP)</strong>, providing unified, secure context and tool integration for autonomous developer agents.</p> <div class="mermaid">flowchart TD IDE[AI Developer IDE Frontend\nTypeScript / Electron] <-->|JSON-RPC / SSE| MCP[Model Context Protocol\nServer & Registry] MCP <--> LocalSLM[Edge SLM Engine\nOllama / Custom Kernels] MCP <--> Runtime[Distributed Agent Runtime\nAWS EC2 / FastAPI] Runtime --> Memory[Persistent Session Memory\n& Workflow State Hub] Runtime --> Tools[External Tooling\nSlurm, Git, Compilers, DBs] </div> <h2 id="system-architecture--features">System Architecture &amp; Features</h2> <h3 id="1-model-context-protocol-mcp-orchestration">1. Model Context Protocol (MCP) Orchestration</h3> <ul> <li>Implemented full MCP client and server specifications, enabling autonomous agent delegation across filesystem navigation, terminal executions, git workflows, and remote database queries.</li> <li>Standardized tool schema generation and validation for low-latency function calling.</li> </ul> <h3 id="2-scalable-cloud-agent-runtime--workflow-hub">2. Scalable Cloud Agent Runtime &amp; Workflow Hub</h3> <ul> <li>Engineered a distributed agent execution backend on <strong>AWS EC2</strong> using <strong>FastAPI</strong> and <strong>Docker</strong>, supporting persistent conversation history, checkpointing, and real-time execution streaming.</li> <li>Built a collaborative workflow hub enabling developers to publish, share, and dynamically compose multi-agent task recipes.</li> </ul> <h3 id="3-edge-slm-inference-optimization">3. Edge SLM Inference Optimization</h3> <ul> <li>Engineered an optimized local edge inference pipeline tailored for short-context Small Language Models (SLMs).</li> <li>Minimized invocation latency and token consumption, allowing reactive agent decision loops to execute with near-zero overhead.</li> </ul>