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Agentic Coding

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By Marius BongartsTech74 editions
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Agentic Coding
Saturday, August 22, 2026
AI Agents - Agentic Coding

5-phase SaaS playbook ships full skill stack, file-based agent messaging solves coordination, CompozyOS keeps sessions alive

1 min read

5-Phase SaaS Framework

A full vibe coding methodology just dropped with everything wired together.

The vibeready guide ships a 5-phase workflow for building SaaS in 1–2 weeks: PRD-first requirements, production foundation, skill-driven feature loops with three quality gates, parallel audit hardening, then launch [Source: VibeReady]. You get 14 auto-loaded rules, 22 agent skills with mandatory pre-flight, TDD, and final checks, plus 10 specialized Claude Code subagents for planning, code review, design review, security, and QA. The framework works across Claude Code, Cursor, Windsurf, Gemini CLI, and Copilot through standardized AGENTS.md—same patterns you've been building, now documented end-to-end.

This pairs directly with the AAS Core catalog from yesterday—your skill library just got a production playbook.

Agent Message Queue

Multi-agent coordination without a database or external service is now a one-liner.

Agent Message Queue is a file-based messaging bus using Maildir-style delivery for local agent-to-agent communication [Source: GitHub]. You get thread continuity, cross-session routing, priority levels, and cross-project federation—all human-readable JSON and Markdown. Install via Homebrew, run amq setup, and your Claude Code and Codex agents can send, list, and drain messages without context switching or duplicate work. There's even a companion bridge for two-host coordination.

If your multi-agent setup keeps losing handoff state, this is the missing piece.

CompozyOS Runtime

Your agent sessions just became durable infrastructure.

CompozyOS is a local runtime that wraps Claude Code and other agent CLIs as managed sessions with built-in loops, memory, permissions, and supervision [Source: CompozyOS]. Sessions survive disconnects and remain replayable—no more losing context when your terminal closes. One daemon handles state across CLI, HTTP, web UI, and MCP, so you and your agents operate the same runtime without custom glue scripts. Multi-agent coordination through Compozy Network is available when you need it.

Solves the gap between ephemeral terminal work and the orchestration frameworks you'd otherwise have to build yourself.

Sources
Build a SaaS with AI: Claude Code, Cursor & Windsurf (2026)
Build a SaaS with AI: Claude Code, Cursor & Windsurf (2026)
22 hours ago ... See the PRD workflow →. 2. Set Up a Production-Ready Foundation. Days 1–2. Don ... A structured foundation like VibeReady means AI follows established patterns ...
vibeready.sh
AI Summary

The guide presents a comprehensive structured vibe coding methodology for building SaaS with AI. It introduces a 3-layer AI Framework combining AGENTS.md (core context file), 14 scoped auto-loaded rules, and 22 agent skills with mandatory quality gates. The workflow spans 5 phases over 1–2 weeks: define requirements via PRD-first approach, set up production foundation, build features through skill-driven loops with three quality gates (pre-flight patterns, test-driven development, final checks), review and harden for production using parallel audit skills, then launch and iterate. Multi-agent coordination is demonstrated through Claude Code's 10 specialized subagents for planning, code review, design review, security review, and QA, each with scoped permissions. The framework is tool-agnostic, supporting Claude Code, Cursor, Windsurf, Gemini CLI, and GitHub Copilot through standardized AGENTS.md and agentskills.io open standards. Key patterns include PRD-first specification before coding, architectural context enforcement to prevent pattern drift at scale, security-scoped database queries, and three-gate quality systems (pre-flight, TDD, typecheck/test/lint) ensuring consistency from feature one through feature 100.

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Agent Message Queue (AMQ) - GitHub
Agent Message Queue (AMQ) - GitHub
5 hours ago ... This shipped in v0.22.0 and is the recommended way to coordinate multi-repo agent work without adding a broker. Swarm Mode (Claude Code Agent Teams).
github.com
AI Summary

Agent Message Queue (AMQ) is a file-based interoperability bus designed for multi-agent coordination in AI-assisted development. It enables local agent-to-agent messaging, thread continuity, cross-session routing, and handoff state management without requiring external infrastructure or databases. Key features include zero-infrastructure setup (pure file-based with Maildir delivery), human-readable JSON+Markdown messages, real-time notifications, priority levels, cross-project federation for routing messages across repositories, and optional adapters for Symphony and Kanban integration. AMQ is built for scenarios where multiple Claude Code, Codex, and other agents collaborate on the same codebase, preventing duplicate work and context switching. The tool includes operational diagnostics, support for isolated named sessions on different features, and a companion amq-bridge for two-host coordination. Installation is available via Homebrew or script, with agents communicating through simple messaging commands like amq send, amq list, and amq drain after initial setup with amq setup and amq launch.

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CompozyOS documentation
CompozyOS documentation
20 hours ago ... CompozyOS runs the agent CLIs you already use (Claude Code, OpenClaw, and Hermes ... coordinating multiple specialized agents turns into custom glue code ...
compozy.com
AI Summary

CompozyOS is a local runtime that orchestrates real agent CLIs like Claude Code as durable, managed sessions with built-in loops, memory, permissions, and supervision—addressing the gap between ephemeral terminal work and custom orchestration frameworks. It keeps agent sessions durable and replayable across disconnects, standardizes behavior per workspace through shared configuration and memory, and enables multi-agent coordination through Compozy Network when explicitly enabled. The system maintains one daemon-owned state model accessible through CLI, HTTP, web UI, and MCP, allowing people and agents to operate the same runtime without custom glue scripts or external control planes.

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