Zora is Superbo's agentic SDLC framework developed by George Kalfopoulos, Chief of Software Engineering Evolution — an installable development process that lives inside your repo. AI agents drive discovery, planning, and delivery. Humans decide at every quality gate.
Zora isn’t a separate tool, a SaaS dashboard, or another tab to check. It’s a framework that lives inside the project repository — versioned with your code, enforced through your existing git workflow, and operated through simple commands.
Every phase of development becomes a structured, agent-driven workflow with human decision points built in.
Installed in the codebase. No external platform dependency.
Agents perform the analysis, drafting, and implementation work.
Every quality gate requires a human decision. By design.
The agent scans the codebase, requirements, and context to build a complete picture of the problem space before any plan is made. No assumptions — evidence first.
Analysis becomes an executable plan: specifications, sequencing, risk assessment. Reviewed and approved by your team before a line of code is written.
The agent implements step by step. Each step produces a git commit, passes through code review, and clears a quality gate before the next begins.
After delivery, Zora reviews what worked and what didn’t and writes those lessons back into its own rules, guides, and architecture docs. The framework gets better at your codebase with every iteration.
Agents drive analysis, drafting, and implementation. Humans decide at every quality gate. No agent ships unilaterally.
One git commit per step. Every decision — agent or human — leaves an auditable trail. When someone asks "why was this changed," there's an answer.
Spec review, risk assessment, and code review on every iteration — not as policy documents, but as enforced steps in the workflow.
Spec review, risk assessment, and code review on every iteration — not as policy documents, but as enforced steps in the workflow.
Supervised mode requires human approval on everything — the safest default for high-risk repos.
Delegated mode lets agents act with human review after the fact, trading some oversight for speed.
Custom lets you set autonomy per step, per project, per team. Control is a setting, not a hope.
Zora is how Superbo builds Superbo. Our internal repositories — backend and UI — already operate through the framework, with every feature passing through the same discovery, roadmapping, delivery, and reflection cycle we describe here.
The framework dogfoods its own process: lessons from each delivery cycle feed directly back into Zora’s rules and guides. It is, quite literally, self-improving software development.
Everything Superbo builds rests on one architectural conviction: agents should do the work, and humans should own the decisions. Opero applies that to enterprise operations — customer service, ticketing, knowledge work. Zora applies it to the software development lifecycle itself.
Same trust architecture. Same governance model. Same answer to the question every enterprise asks: who’s in control?
Adopting AI coding tools who need governance, not just velocity.
Where every change requires an audit trail — financial services, healthcare, energy, telco.
Standardizing how AI-assisted development happens across multiple repos and squads.
No. Coding assistants help individuals write code faster. Zora is a development lifecycle framework — it structures how agents and humans collaborate across discovery, planning, delivery, and review.
It installs into it. Zora works through your repo and git workflow; it doesn’t ask you to migrate to a new platform.
As much as you configure. Supervised mode requires human approval on everything; Delegated mode lets agents act with human review; Custom lets you set it per step.
The Reflection phase analyzes each completed cycle and updates Zora’s own rules, guides, and architecture documentation in the repo. The framework accumulates knowledge about your codebase over time.
A discovery session takes one hour. We’ll walk through how Zora installs into your repo, where your quality gates sit, and what configurable autonomy looks like for your team.