Note: Today's issue is a bit more technical than usual. We're diving deep into the AI development workflow that's been transforming how we build. Even if you're not technical, stick around—understanding where software development is headed matters for everyone.
D.B. Fresh
D.B. Fresh
"D.B. Fresh here. Look, I know you just got the kids down and Love Island starts in 50 minutes. That's exactly enough time to discover why your current dev workflow is stuck in 2019. Pour that wine and let's talk about how Colin accidentally went viral by... checks notes... doing his job? Wild times."

One Tweet, 41K Views, and a Reality Check About "Cutting Edge"

I dropped a workflow last week on X as a casual response to someone’s question about favorite MCP workflows. Nothing fancy—just showing how I build features while background agents handle the grunt work. The response?

41,000 views. 1,200 bookmarks. 20+ DMs asking "wait, you can DO that?"

Here's the kicker: I've been feeling massively behind. Scrolling through AI Twitter, watching people build autonomous agent swarms, implementing MCPs I hadn't heard of yesterday. Classic imposter syndrome fuel.

But that viral moment revealed something crucial: While I'm worried about keeping up with the bleeding edge, most developers are still copying and pasting between ChatGPT and VS Code.

What feels like table stakes to us is still magic to 99% of builders.

So today, we're pulling back the curtain on the exact workflow that's letting two non-engineers ship production code. Consider this your backstage pass to modern AI development.

3 Months Ago I Was Copy-Pasting. Now I Deploy With One Command.

Three months ago, my "AI workflow" looked like this:

  1. Ask ChatGPT for code

  2. Copy into editor

  3. Debug when it inevitably breaks

  4. Repeat until frustrated

  5. Call Alan

Last month, we discovered Cursor's background agents. Game changer. Single agents could work on specific tasks without me handholding every step. No more copy-paste gymnastics.

But then we hit a wall.

When you need multiple background agents working in parallel, they operate in complete isolation. No shared context. No coordination. It was like conducting an orchestra where nobody can hear each other.

Enter the plot twist: Claude Code.

Not as a replacement for Cursor, but as the conductor. The orchestration layer that makes everything else sing.

Meet Taskmaster: The Workflow That's Actually a Workflow

Here's what we've built (and what that viral post barely scratched the surface of):

The Philosophy: Instead of juggling between task trackers, documentation, testing tools, and Slack, create a single source of truth that orchestrates everything else. One brain, multiple hands.

The MCP Stack:

  • Claude Code: Intelligent orchestration layer

  • Taskmaster: Project management engine (built by some brilliant folks we know)

  • Linear: Team visibility interface

  • Context7: Real-time documentation

  • Playwright: Automated quality assurance

But here's where it gets interesting. We don't interact with these tools directly anymore. We built custom slash commands that handle the complexity:

/project:setup → Transforms PRD into full dev environment
/project:execute-tasks → Spawns parallel agents with conflict detection
/project:sync-linear → Keeps team tools synchronized
/project:enhance-docs → Injects latest documentation

Each command encapsulates what would normally be 30 minutes of manual coordination. One command, entire workflows.

Why Don't We Get Stuck on Implementation Anymore?

Remember that feeling when you're building something and you know what you want but not how to implement it? We solved that.

Phase 1: Strategic Research (via Perplexity)

  • Industry best practices

  • Architecture decisions

  • Security considerations

  • "Should we use Redux or Zustand?"

Phase 2: Tactical Documentation (via Context7)

  • Exact API signatures

  • Current library versions

  • Implementation patterns

  • "Here's the exact Zustand store setup"

Claude Code orchestrates both phases automatically. It knows when you need strategic guidance versus tactical implementation details. No more context switching between research and coding.

Parallel Agents Without the Chaos

During /project:execute-tasks, something beautiful happens:

Main Claude Session (Conductor)
├── Task Agent 1: Frontend Component
├── Task Agent 2: Backend API
├── Task Agent 3: Database Schema
└── Coordination Layer: Git + Linear + Slack

But here's the secret sauce: conflict detection. Claude Code analyzes file dependencies before spawning agents. It knows Agent 1 is touching components/ while Agent 2 is in api/. No conflicts, full speed ahead.

When agents might conflict? Sequential execution with context passing. Slower but safer.

Each agent also receives:

  • Relevant Context7 documentation

  • Task-specific context

  • Progress from other agents

  • Quality gate requirements

The result? What used to take us days now happens in hours. With better quality.

The Best Tool? All of Them.

The workflow evolved again this week. Since that viral post, I've been refining how Claude Code fits into our process. Here's our current setup:

For PRD Creation: We use whatever model fits the task—Gemini excels at creative exploration, o3 handles complex logic beautifully, Claude brings nuance to requirements

For Task Execution:

  • Complex features: Claude Code orchestration

  • Simple updates: Cursor for direct manipulation

  • Visual feedback needed: Cursor's inline diff view

For Quality Assurance: Context-aware automation that knows when to test and when to skip

We're not locked into one tool. We're composing them based on what each does best.

Here's the thing: These tools are constantly evolving. Next week there'll be something new that everyone swears by. Some tools we use might not be "cutting edge." Others we skip might be incredible.

But that's not the point.

The goal isn't to master every new tool. It's to find the combination that lets us focus on what actually matters: building delightful software. The tools should disappear into the background, not become the main event.

We're Not Special. That's the Point.

Two months ago, David and I were limited in what we could build independently. Now?

David's already a solid frontend developer through his design background. This workflow gives him the tools to build his own ideas without technical blockers.

For me, it means focusing on standardizing these workflows for our entire team instead of getting stuck in implementation details.

And Alan? He can focus on the genuinely complex technical challenges while we handle more of the standard features.

But here's what really matters: We're not special.

This workflow isn't some proprietary secret. It's MCPs, smart tooling, and thoughtful orchestration. The "magic" is knowing how to connect the pieces.

Which brings us to the question...

Video Tomorrow. Templates Maybe. Your Call.

Look, we're not trying to become another "AI course" grift. But if that viral response taught us anything, it's that people need bridges between "what's possible" and "what's practical."

Tomorrow, I'm planning to record a full walkthrough covering the how, what, and why of this entire workflow. Not just the flashy parts, but the actual implementation details.

We're considering packaging this as:

  • Video walkthrough of the complete workflow

  • Fully documented templates

  • Custom command libraries

  • Discord community for troubleshooting

The question is: Would you actually use this?

Not "sounds interesting" use it. But "I would implement this tomorrow" use it.

Hit reply and tell me:

  • What's your current AI dev workflow?

  • What's the biggest friction point?

  • Would templates + commands + community actually help?

Landing Page Live + Why Client Work Won This Week

Virtue Update: Our landing page is live! Check it out and let us know what you think.

Candidly, we made less progress than planned this week. Client work demanded more attention than expected. But that's the reality of bootstrapping. You balance the dream with the revenue.

Workflow Evolution: Every project makes the system smarter. Commands get refined. Patterns emerge. What started as task automation is becoming a development philosophy.

Force Multiplication: This is the real unlock. When the entire team can leverage these workflows, we're not just moving faster. We're expanding what's possible. Each person's capabilities get amplified.

Hit Reply If You Want This

The viral moment was fun, but it raised a real question: How do we scale this knowledge without becoming just another noise source in the AI education space?

So we're asking directly:

  1. Want us to share the complete workflow?

  2. What format would actually be useful?

  3. What's your biggest AI development frustration?

Reply and let us know. We read everything, even the brutal honesty.

Next week: Virtue launch prep, momentum building for idea #2, and the results from tomorrow's workflow walkthrough video.

Until then,

Colin Ala& the Torta team

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