Design an AI-Native Software Factory for Your Organization
Paramanantham Harrison
Head of Engineering at Jobbatical
Adopting coding agents is easy. Running them well across every team is not.
Joining the founding workshop? Use code FOUNDING250 to get $250 off, which brings it to $347 until enrollment closes on Thu 12 Nov.
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Your engineers are already using coding agents. Some teams move faster, others struggle to review agent-generated code consistently, and every team has quietly invented its own rules for what an agent may touch.
Adding more tools does not solve the underlying operating-model problem. What is missing is an operating model: clear limits on agent autonomy, shared context and skills, verification that protects your standards, and a delivery path that keeps people accountable.
In this one-day working session you design that operating model for your organization. You map the Software Factory architecture onto your teams, decide where agents act alone and where people approve, and leave with a roadmap for the first workflows to automate.
This is not a tool evaluation. It is about the system around the tools you already use and the engineering standards you need to keep.
What you’ll learn
A one-day working session for engineering leaders to design how coding agents operate across your organization, with governance built in.
Place Boundary, Context, Skills, Execution, Verification and Delivery across your teams.
See which layers already exist in your process and which ones are missing.
Agree on one shared model instead of a different setup in every team.
Sort engineering tasks by the autonomy they can safely have.
Place human approval gates where the risk is real, not everywhere by default.
Leave with autonomy rules your managers can explain to their teams.
Define the workspace, repository and command limits agents run inside.
Decide who can grant an agent more access, and how that decision is recorded.
Keep agent work separated from production systems and sensitive data.
Design the automated gates every agent change must pass.
Choose which checks run on every change and which run before release.
Make sure what reaches a reviewer has already been verified by a machine.
Define how agent work moves from task to reviewed pull request.
Keep a named engineer accountable for every change that merges.
Give reviewers the context they need to approve agent work quickly and safely.
Pick the first workflows to automate and the layers to build first.
Sequence the work so early wins build trust across your teams.
Leave with concrete next steps you can take to your leadership team.
Workshop agenda
Software Factory Architecture
Map Boundary, Context, Skills, Execution, Verification and Delivery across your organization.
Agent Autonomy
Identify which engineering tasks can be delegated to agents and where human approval belongs.
Execution Boundaries
Design the workspace, repository, permission and sandbox limits agents run inside.
Context and Skills
Decide how organizational knowledge and engineering practices reach every agent consistently.
Verification and Quality
Design the automated gates that protect your engineering standards.
Delivery and Governance
Define the path from agent-generated work to a human-reviewed pull request.
Operating Model
Connect people, agents, tools and engineering processes into one system.
Implementation Roadmap
Prioritize the first workflows and architecture components to build.
Learn directly from Paramanantham
Paramanantham Harrison
Engineering leader, Agentic AI educator
Who this workshop is for
CTOs and VPs of Engineering deciding how coding agents should be adopted and governed across their teams
Engineering managers and directors whose teams use agents and need shared rules instead of team-by-team habits
Platform and staff engineers asked to design the guardrails, pipelines and permissions agents run inside
Prerequisites
You shape how engineering works
You are responsible for, or have real influence over, how software gets built and reviewed.
You know your current process
Bring how your teams handle repositories, reviews, testing and delivery today.
Agent experience is optional
Familiarity with coding agents helps, but the session starts from the engineering system.
What's included
Live sessions
Learn directly from Paramanantham Harrison in a real-time, interactive format.
Live workshop access
A full working day with Param, designing the operating model for your own organization.
Software Factory framework
The six-layer model for organizational design, ready to share with your teams.
Architecture blueprint
A practical blueprint for an AI-native engineering system you can adapt.
Governance framework
A structure for boundaries, verification and human delivery gates.
Implementation roadmap
A path from architecture decisions to your first automated workflows.
Workshop materials
The working materials and reference frameworks used throughout the day.
Certificate of completion
Share what you designed with your leadership team or on LinkedIn.
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