Same-case examples and evidence comparing AI coding planning and specification frameworks.

Forge rough ideas into drift-proof execution contracts for AI coding agents. 6-step pipeline, 16 agents, 8 skills, lifecycle hooks, 5 tech presets.

Spec-driven development loop for AI agents. The spec stays alive — plans come from it, code is checked against it, and it evolves as the code does.

🏗️ Universal 8-phase methodology for planning and building enterprise-grade, mission-critical software with AI coding agents. Supports Cursor AI, Claude Code, Kimi Code, Windsurf & Google Antigravity. Includes ADR validator, microtask linter & CI/CD templates. ≥99% test coverage. MIT.

Turns any AI into a Project Manager with planning and governance

A lightweight CTO workflow for Codex that clarifies requirements, adds risk-based guardrails, and orchestrates Superpowers.

A small brief before AI writes code. Make AI coding less vague and easier to continue.

Evidence-backed reverse engineering and human-gated software planning for Pi and MCP coding agents.

Local AI assistant for software planning. Built with FastAPI and Ollama to generate MVP plans, entity models, API suggestions, and starter SQL schemas.

Planificación del proyecto SIGL con Odoo Projects + MS Excel: WBS, Gantt, CPM y modelo de costos. Lab. 2, Integración de Sistemas, Ingeniería Informática, UNIR.

Compare six AI coding specification and planning frameworks by reviewing their generated outputs from an identical product brief.

Project Report for HCI & Software Modeling Course

Spec-driven development harness for AI coding agents with human-in-the-loop approval gates. Turns one-sentence ideas into approved specs, dependency-aware task graphs, and verified run logs for Claude Code, Codex, and Gemini CLI.

This is a tutorial project that was given in Java Developer Capstone Projects. It teaches best practices for software development using Java, GitHub and Docker

Best AI Coding Agent Pipeline Builder 2026 – Plan-Forge Drift-Proof Execution Contracts