Why This Matters
Almost every developer already has a story about how AI helped them ship something faster. But at the team level, those wins rarely add up. Instead, you get:
Inconsistent
output
Knowledge
silo
Unpredictable
velocity
Erosion of
code ownership
The result? Velocity you can’t predict — and quality you can’t fully trust.
Developer as orchestrator, AI as intern
Quick Takeaways
Learn to initiate tasks with a formal 'Mission Brief'
Clear sync vs. async workflow
Human judgment as the final filter
From experiments to a repeatable system
What You’ll Get From the Manifesto
Based on Tikal’s work with dozens of engineering teams and insights from our AI Task Force, we developed the Twelve-Factor Agentic SDLC: a structured methodology that makes AI a governed part of the development process.
You’ll learn how to:
Establish a clear mental model for using AI across the team
Apply a practical workflow that separates [SYNC] collaboration from [ASYNC] delegation
Keep human judgment as the final filter for quality and ownership
Turn individual experiments into a repeatable, team-wide system
This is about moving from ad-hoc AI use to a process that accelerates delivery without losing context, quality, or control.
About Tikal
Tikal is your hands-on tech consultancy partner for scaling and making a tech impact on your product's development.
Our practice, driven by the Israeli Tech Radar in the domains of AI, Fullstack, Backend, Data, Machine Learning, and DevOps, seamlessly integrates into your team and boosts your engineering capabilities.