Files
portfolio/app/data/aiStack.ts

146 lines
3.4 KiB
TypeScript

// AI Stack dataset: categories, item schema, and curated initial items
// This file is self-contained to avoid modifying global types.
export type AiCategory =
| "method"
| "ide"
| "assistant"
| "rule"
| "mcp"
| "extension"
| "infra"
| "evaluation";
export type AiGroup = "ide_dev" | "protocols" | "concepts" | "approaches";
export const AI_GROUPS: readonly AiGroup[] = [
"ide_dev",
"protocols",
"concepts",
"approaches",
] as const;
export type AiItemLinkset = {
setup?: string;
rules?: string;
example?: string;
};
export type AiItem = {
id: string;
name: string;
category: AiCategory;
group: AiGroup;
icon?: string;
shortWhy?: string;
links?: AiItemLinkset;
tags?: string[];
featured?: boolean;
heat?: number;
};
export const AI_CATEGORIES: readonly AiCategory[] = [
"method",
"ide",
"assistant",
"rule",
"mcp",
"extension",
"infra",
"evaluation",
] as const;
export const aiStackItems: AiItem[] = [
// Concepts and methodologies
{
id: "method-openspec",
name: "Spec-Driven Development",
category: "method",
group: "concepts",
icon: "i-twemoji-open-book",
shortWhy: "Develop AI systems guided by specification before execution",
tags: ["spec", "planning"],
},
{
id: "concepts-agent-coordination",
name: "Agent-Based Coordination",
category: "method",
group: "concepts",
icon: "i-twemoji-people-holding-hands",
shortWhy: "Coordinate multiple agents to accomplish complex goals",
tags: ["agents", "coordination"],
},
{
id: "concepts-token-budget",
name: "Token Budget Management",
category: "method",
group: "concepts",
icon: "i-twemoji-abacus",
shortWhy: "Strategically manage context and token usage for LLMs",
tags: ["tokens", "context"],
},
// IDE / Development Environments
{
id: "ide-vscode",
name: "VSCode",
category: "ide",
group: "ide_dev",
icon: "i-logos-visual-studio-code",
shortWhy: "Popular, professional IDE for coding and AI projects",
tags: ["ide", "vscode"],
},
{
id: "ide-rider",
name: "Rider",
category: "ide",
group: "ide_dev",
icon: "i-twemoji-rocket",
shortWhy: "IDE for .NET development",
tags: ["ide", "dotnet"],
},
// Protocols & Standards (MCP)
// Emerging approaches
{
id: "approaches-context-management",
name: "Context Management",
category: "method",
group: "approaches",
icon: "i-twemoji-card-index-dividers",
shortWhy:
"Control and retain context and memory for long-running agent interactions",
tags: ["context", "memory"],
},
{
id: "approaches-agent-orchestration",
name: "Agent Orchestration",
category: "method",
group: "approaches",
icon: "i-twemoji-ringed-planet",
shortWhy:
"Coordinate groups of agents to solve multi-step or complex tasks",
tags: ["agents", "orchestration"],
},
{
id: "approaches-cot",
name: "Chain-of-Thought Reasoning",
category: "method",
group: "approaches",
icon: "i-twemoji-thought-balloon",
shortWhy: "Step-by-step reasoning and analysis with language models",
tags: ["reasoning"],
},
{
id: "approaches-prompt-engineering",
name: "Prompt Engineering Tools/Techniques",
category: "method",
group: "approaches",
icon: "i-twemoji-hammer-and-wrench",
shortWhy:
"Craft and evaluate prompts to achieve precise, targeted model outputs",
tags: ["prompting"],
},
];