AI-Driven Development

AI-Driven Development

Master AI-assisted development and ship better software fasterA practical system for working engineers who want to build with AI agents, not fall behind them.

The workflow
  1. Plan
    Step 1
  2. Delegate
    Step 2
  3. Verify
    Step 3
  4. Ship
    Step 4
Outcome
Ship production-quality software with AI doing the heavy lifting.
Format
Written-first system: workflows, templates, and review checklists.
Built for
Working software engineers with limited weekly bandwidth.
Join AI-Driven Development Today
One-time purchaseInstant access

The risk isn't AI taking your job. It's engineers who use AI well taking it.

You've spent years mastering your craft, but the way software gets built is changing fast. Engineers who direct AI well now ship in days what used to take weeks. The problem isn't your skills. It's that your workflow hasn't caught up with your tools.

The Failure Modes

  • Prompt-and-pray coding
    Asking a chatbot for snippets and pasting them in isn't AI-assisted development. It's often slower than typing.
  • No verification discipline
    AI output looks confident whether it's right or wrong. Without review habits, bugs ship faster too.
  • Tool churn without a system
    A new tool every week, no stable workflow. You collect subscriptions instead of skills.
  • Falling behind quietly
    Teams adopt AI unevenly. Engineers who wait for official training get lapped by the ones who built their own workflow.
Speed without quality is debt
Shipping AI code you don't understand trades velocity now for incidents later.
Context is the real skill
Models are commodities. Feeding them the right context and constraints is the actual engineering.
Unbounded prompts kill momentum
Vague asks produce vague code. Scoped tasks with a clear "done" get real results.
Review is the new bottleneck
When code is cheap to produce, judging it well is what makes you valuable.
Why this matters: AI leverage compounds. Engineers who build the workflow now become the seniors everyone else learns from.

AI-driven development isn't autocomplete.It's engineering with a new toolchain.

You don't need to become an "AI engineer" to benefit. AI-driven development means directing agents with the same rigor you apply to code: scoped tasks, reviews, and tests, so quality goes up while cycle time goes down.

Status quo

Manual-only workflow

  • Typing every line yourself
  • Hours lost to boilerplate and migrations
  • Review quality depends on energy left over
  • "I'll try the AI tools someday"
vs
Leverage

AI-assisted workflow

  • Agents handle scoped implementation
  • Your time goes to design and review
  • Tests and checks verify every change
  • A workflow that compounds with every project
Engineer mental model: treat AI like a fast junior engineer: excellent output under clear constraints, dangerous without review.
Goal: not "replace yourself": multiply your output while keeping the judgment that makes it safe.

The AI-Driven Development Framework

A simple pipeline that turns AI tools into a reliable part of your engineering process, with constraints that keep quality high.

  1. 1. Plan → scope the task

    Break work into bounded tasks with clear context, constraints, and a definition of done.

    Example: Example: a task doc with goal, files in scope, constraints, and acceptance checks.

  2. 2. Delegate → direct the agent

    Hand the task to the right tool with the right context: codebase conventions, tests, and boundaries.

    Example: Example: agent brief + project conventions file + explicit guardrails.

  3. 3. Verify → review like a senior

    Review AI output the way a senior reviews a PR: correctness, security, performance, and fit with the codebase.

    Example: Example: review checklist + test-first verification loop.

  4. 4. Ship → close the loop

    Merge, measure, and fold what you learned back into your prompts, docs, and workflow.

    Example: Example: retro notes that upgrade your conventions file after every feature.

The Daily AI Workflow

A practical loop for everyday work. Scope tightly, give real context, verify everything, and let the workflow improve with every task.

  1. Step 1Scope

    Start with a bounded task

    Pick one task with clear edges and a definition of done. AI does its best work inside constraints, and so do you.

  2. Step 2Context

    Feed the right context

    Conventions, examples, and the reason behind the task. Good context beats clever prompts every time.

  3. Step 3Generate

    Let the agent work

    Delegate the implementation to the agent while you stay on design, edge cases, and the decisions that need judgment.

  4. Step 4Review

    Review with a checklist

    Read every change like a pull request from a fast junior engineer. Trust the speed, verify the judgment.

  5. Step 5Test

    Prove it works

    Tests are your safety net. If it isn't tested, it isn't done, no matter how confident the model sounded.

  6. Step 6Refine

    Upgrade the workflow

    Fold what you learned into your prompts, conventions, and checklists. Every task should make the next one start smarter.

What you'll build

Walk away with real documents, templates, and a working workflow you can use right away, not abstract advice.

Personal AI workflow
A documented workflow for your stack: which tools, for which task types, with which guardrails.
Example
Workflow doc (tools, task types, escalation rules).
Conventions file
A living context file that teaches any agent your codebase's rules and conventions.
Example
Project conventions file agents actually follow.
Review checklist
A verification checklist that catches AI mistakes before they ship.
Example
Correctness, security, performance, and style checks.
Task templates
Reusable briefs for common work: features, refactors, tests, and migrations.
Example
Template library for the most common task types.
Quality guardrails
Test and CI habits that keep AI speed from turning into AI debt.
Example
Test-first loop + CI checks that gate agent changes.
A shipped project
A real feature or tool built end-to-end with your new workflow.
Example
A case-study writeup you can show your team.
Typical build time: 2-6 weeks depending on your track and available bandwidth.

Is AI-Driven Development Right for You?

This isn't for everyone, and that's intentional. AI-Driven Development is built for engineers who want a working system, not another tool roundup.

You're a Good Fit If...

  • You're a working software engineer comfortable reading code
  • You want a repeatable system for AI-assisted work, not tool hype
  • You think in workflows, constraints, and feedback loops
  • You can commit 3-5 hours per week to execution

This Isn't For You If...

  • You won't read code and want no-code shortcuts
  • You're looking for hot takes about AI instead of shipping software
  • You want live calls, coaching sessions, or a community to hang out in
  • You prefer consuming content over shipping real work

Built by an Engineer Who Ships with AI Daily

Not commentary from the sidelines. A documented system from an engineer who builds and operates real products with AI assistance every day.

13+ Years Building Systems

From startups to scale-ups: backend, infrastructure, and product. Real engineering, not theory.

Products Shipped with AI

Real products designed, built, and operated with AI-assisted workflows. Practiced what this teaches.

Documented Like Software

This system is versioned, tested against constraints, and updated based on real feedback loops.

Live products I build and operate

ProductivityTrackMakeV1Toolkits.devHunterKitTech Farsi
See all projects + what's coming next →

Everything You Get Instant Access To

A complete written system of workflows, templates, and tracks, designed to run in 3-5 hours per week alongside your job.

Instant Access

The AI-Driven Development Playbook

The complete framework: scoping tasks, directing agents, verifying output, and compounding your workflow.

Templates + Checklists

Task briefs, conventions files, review checklists, and prompt templates, so you never start from a blank page.

4 Workflow Tracks

Feature work, refactors & migrations, testing & quality, and greenfield builds. Each with explicit constraints.

Built for 3-5 Hours/Week

Designed for employed engineers. No calls, no community overhead, just focused execution.

Try It Risk-Free

This is a one-time purchase with instant access. If AI-Driven Development doesn't change how you build software, you shouldn't pay for it.

Bounded Scope

You won't drift into tool-hopping. Clear tracks with explicit constraints keep you shipping.

Built for Your Schedule

Written-first, async-friendly. No calls, no community overhead, works around your job.

Secure Checkout

One-time payment via Stripe. Instant access. No subscriptions, no recurring charges.

Join AI-Driven Development

Contact for pricing One-time fee

Instant access after purchase

Browse Courses
✓

📘 The AI-Driven Development Playbook

The complete framework for AI-assisted engineering: how to scope tasks, direct agents, verify output, and build a workflow that compounds.

✓

📋 Templates + Checklists

Task briefs, conventions files, review checklists, and prompt templates, so you never start from a blank page.

✓

🎯 4 Workflow Tracks

Pick the track that matches your daily work:

  • ○Feature Work - Ship scoped features with agent support
  • ○Refactors & Migrations - Modernize code safely at speed
  • ○Testing & Quality - Build the verification safety net
  • ○Greenfield Builds - Take a project from zero to shipped
✓

⚡ The Daily AI Workflow

A lean daily loop: Scope → Context → Generate → Review → Test → Refine. Built for engineers who want systems, not hype.

✓

🕐 Built for 3-5 Hours/Week

Designed for employed engineers. No calls, no community overhead, just focused, async-friendly execution that works around your job.

✓

🔑 Lifetime Access + Updates

Get access to all future updates. As the tools and the system evolve, you get the new versions at no extra cost.

Contact for pricing

One-time payment • Instant access

Browse Courses
Secure checkout via Stripe

Common Questions

Everything you need to know before joining.

What exactly do I get?▾
The AI-Driven Development playbook, templates, checklists, and 4 workflow tracks. Written-first and async-friendly, designed to run in 3-5 hours/week alongside your job.
Is this a course or coaching?▾
Neither. It's a written execution system with workflows, templates, and checklists. No calls, no community, just focused material you work through at your own pace.
How is it delivered?▾
Instant digital access after purchase. Everything is written and async-friendly: workflows, templates, and tracks you can run on your schedule.
How much time does it take?▾
Designed for 3-5 hours per week. The system works with fragmented time, so you don't need long stretches to make progress.
Which AI tools does it cover?▾
The system is tool-agnostic. It teaches workflows that work with Claude, Copilot, Cursor, and whatever ships next month. Tools change constantly; the workflow is what compounds.
Who is this NOT for?▾
Engineers who won't read code, people chasing no-code shortcuts, or anyone who wants AI hot takes instead of shipping. This is for engineers who execute.
What's the refund policy?▾
Due to the digital nature of the product, all sales are final. Review the pricing section carefully before purchasing.
How much does it cost?▾
See pricing section. One-time payment with instant access. No subscriptions, no recurring charges.

Ready to Build Faster Without Breaking Things?

Stop watching the AI shift from the sidelines. Get the system that turns AI tools into a reliable engineering workflow, starting today.

Join AI-Driven Development Today
One-time paymentInstant accessLifetime updates

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