Do I need to use the agent you use?
No. The methodology is agent-independent. Examples come from real development workflows, but the principles apply to capable AI coding agents.
DIGITAL PLAYBOOK · PRE-ORDER
From Developer to AI Engineering Director
Stop being the person who writes every function. Become the person who directs the development of entire software systems.
A practical methodology for human-led architecture, focused delegation, agent supervision, and outcome-based validation.
THE NEXT EVOLUTION OF THE SOFTWARE DEVELOPER
Software development is changing from personally producing every line of implementation to directing capable AI agents across a complete system. The developer’s engineering judgment, architectural responsibility, and accountability for outcomes do not disappear—they become more important.
A METHODOLOGY BUILT THROUGH ACTUAL DEVELOPMENT
Ken Wallace, Founder and Principal Architect of JKW Software, developed this methodology while building real software systems with AI agents performing nearly all implementation work.
Across financial operations and sports technology platforms, human control remains with architecture, requirements, and validation—while agents receive focused assignments that advance the system.
WHAT YOU’LL LEARN
Learn to frame work around system outcomes, technical risk, and the decisions that must remain yours. Use agents as implementation capacity while you retain responsibility for the whole system.
Define system boundaries, core data relationships, and non-negotiable constraints before assigning work. This gives agents stable context and reduces rework across dependent features.
Break larger goals into assignments with a defined scope, inputs, expected result, and acceptance criteria. You’ll know how to make work reviewable without over-specifying every line.
Set checkpoints that surface decisions, blockers, and integration risk early. Keep development moving by reviewing the work that needs your judgment, not every intermediate action.
Match validation depth to the consequence of the change. Build confidence through observable outcomes, targeted checks, and escalation when an assignment exceeds safe delegation.
Coordinate changes across domains, APIs, data, and user experiences without losing architectural coherence. Learn to sequence assignments around real dependencies.
Translate the method into your current product, client engagement, or internal system. Use the templates and checklists to create a repeatable operating rhythm.
NOT ANOTHER BOOK OF AI PROMPTS
This is not a collection of prompts or a beginner tutorial. It teaches how to remain responsible for a complete software system when AI agents perform most of the implementation.
WHAT’S INCLUDED
WHO THIS BOOK IS FOR
Designed for experienced developers, senior engineers, independent consultants, and software architects. Programming and architectural experience are assumed.
PRE-ORDER
Digital PDF and companion materials
Digital delivery by November 17, 2026
Full refunds available upon request before delivery
Checkout integration will be available here.FAQ
No. The methodology is agent-independent. Examples come from real development workflows, but the principles apply to capable AI coding agents.
Not primarily. Prior software development experience is assumed.
No. It covers risk-based validation and situations requiring deeper code, security, or architectural review.
No. It is a digital playbook with companion templates.
By November 17, 2026.
Yes. Full refunds are available before digital delivery.
THE SOLO SOFTWARE COMPANY
$49 pre-order · Digital delivery by November 17, 2026
Checkout integration will be available here.