From conversation to production in hours, not months. Plan with AI. Build autonomously. Review with confidence. Ship with traceability.
But without the right process, speed creates chaos. The bottleneck has shifted from engineering to everything around it.
AI builds in hours. Requirements still take weeks. Ideas get stuck in documents nobody reads while code races ahead without direction.
Which requirement produced which code? When AI generates thousands of lines, the link between intent and implementation vanishes.
Fast code isn't always good code. Without structured review against clear criteria, quality issues compound silently.
You know what to build. AI knows how to build it. But there's no system to bridge the gap — just chat windows and hope.
Cycl bridges the gap. You focus on what you do best — product thinking, ideas, direction. AI handles what it does best — engineering.
Four phases. Zero manual coding.
Describe what you want in plain English. AI asks clarifying questions, generates wireframes, and builds structured requirements with verifiable done-when criteria.
Fully autonomous. Claude Code runs in a cloud sandbox — writing, testing, and iterating until every requirement is met. No human in the loop.
Per-task review with AI-verified done-when criteria, inline code diffs, build logs, and full traceability. Accept, flag defects, or mark missed requirements.
Auto-generated documentation, GitHub PR creation, and full audit trail. Every line of code traced back to its requirement.
A complete platform, not another coding assistant.
Describe features in plain English. AI generates wireframes, interactive widgets, and structured requirements.
Claude Code runs inside cloud sandboxes. Setup, build, push, validate, fix — fully automated.
Per-task verification against done-when criteria. Inline diffs, build logs, and AI-powered quality checks.
AI-generated user docs, release notes, and technical docs. WYSIWYG editor with PDF export.
Every requirement mapped to code. Map entries, code comments, and artifact tracking across the entire SDLC.
AES-256-GCM encryption, 11-role RBAC, audit logging, invitation-only signup. Enterprise-grade from day one.
Track AI spend per cycle, team, and model. Real-time usage dashboards with per-component cost breakdown.
Bidirectional sync with Jira Cloud. Import issues, push updates, and maintain a single source of truth.
From conversation to code to review — all in one flow.
I need a user auth system with login, signup, and password reset
I'll structure that into 3 features with verifiable criteria...
This is not another AI coding assistant. It is the entire SDLC — reimagined with AI at the center.
Join teams building software at the speed of thought.
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