Same-case examples and evidence comparing AI coding planning and specification frameworks.
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Updated
Jul 19, 2026 - TypeScript
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.
Evidence-backed reverse engineering and human-gated software planning for Pi and MCP coding agents.
🏗️ 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.
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.
Turns any AI into a Project Manager with planning and governance
Evidence-driven repository planning workshops and interactive devplan generation for OpenCode, Claude Code, and Hermes Agent.
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.
Safety-first Codex skill that turns ambiguous product work into an evidence-backed, implementation-ready repository handoff.
Planificación del proyecto SIGL con Odoo Projects + MS Excel: WBS, Gantt, CPM y modelo de costos. Lab. 2, Integración de Sistemas, Ingeniería Informática, UNIR.
Claude Code 단독으로 동작하는 SW 기획 자동화 하네스. 자연어 프로젝트 초안을 PRD / TechSpec / ArchSpec / APISpec / Diagrams 5종 마크다운 산출물로 단계별 생성·검증합니다.
Project Report for HCI & Software Modeling Course
The authenticated command and query authority for centrally managed engineering entities and evidence.
Compare six AI coding specification and planning frameworks by reviewing their generated outputs from an identical product brief.
Compile product intent into validated Product IR, executable specifications, and deterministic Goal DAGs.
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
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