A Guide To AI-Assisted Software Engineering

AI coding models, agents, CLIs, IDEs, AI app builders, open source tooling, benchmarks

AI Intent Driven Development (IDD) guidelines and instructions for AI Coding Agents, AI Coding Assistants, and LLMs.

Production-ready architectural patterns and implementation skills for building modern iOS apps with Swift, SwiftUI, and Tuist — designed as context for AI coding agents.

Context engineering patterns and templates for AI coding agents. CLAUDE.md / AGENTS.md examples from single-file through agent teams with Jira integration.

The open-source skill registry for AI coding agents. Create, manage, and distribute SKILL.md files across Claude Code, Cursor, Codex, OpenHands, Windsurf, and more.

Local MCP server that extracts high-level Git repository context for AI coding agents

Advanced tooling for coding agents offering a minimal learning curve and setup in minutes

Context-Driven Engineering (CDE) is an approach to software development that treats context as the primary artifact and code as a secondary, derived outcome.

Make AI coding agents smarter. Type-aware code search, documentation standards, development conventions. CLI + installable skills for Claude, Cursor, Copilot.

Install Plaited skills for AI coding agents supporting the agent-skills-spec.

Canonical frontend stack blueprint for AI coding agents: TypeScript, React, Vite, Vitest, Tailwind, TanStack, and shadcn/ui, with strict architecture rules, versioned docs, and a machine-readable manifest for bootstrapping modern web, Electron, Tauri, and PWA projects.

Comprehensive coding and agent guidelines for AI-assisted development workflows. Includes detailed conventions for Java, logging, testing, validation, time handling, error handling, and agent behavior to ensure consistent, testable, and high-quality code generation by AI coding agents.

MCP server for Punchdown — mobile control plane for AI coding agents (Claude Code, Gemini CLI, Codex)

Custom config for kilocode smooth coding