The Claude Code Chronicles: Chapter 1

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Disclaimer: I am not affiliated with, employed by, or sponsored by Anthropic. I am a paying Claude Pro subscriber and receive no compensation or endorsement for mentioning Claude in this article. All opinions and experiences shared are my own.
When one AI becomes many, and GitHub Issues become persistent memory
The Discovery 
I was 30 minutes into a Claude Code session when I hit the context limit. Again.
That familiar message appeared, and I did what every developer does: I started a new session. Fresh context. Clean slate. Ready to continue.
Except... Claude picked up exactly where we left off. Not just the code—the entire mental model. The architectural decisions. The edge cases we'd discussed. The "why" behind every choice.
How?
The answer changed how I think about AI development. It's not about one conversation with Claude. It's about creating a distributed intelligence across multiple sessions, multiple issues, multiple parallel work streams.
This is the story of that discovery, and the system that emerged from it.
The Series 
This isn't theory. This is a live experiment you're watching unfold. Three posts, published over three weeks, each revealing a layer of how solo developers can harness distributed AI development.
All three posts are bookmarkable now. The content reveals progressively, but the ideas are already working in production.
Part 1: Why Claude Code is a Stalactite 
📖 Read Part 1 → ✨ JUST PUBLISHED
The Metaphor That Explains Everything
Why does Claude remember context across sessions when every conversation starts fresh? The answer lies in geology—and transforms how you architect AI-assisted projects.
You'll discover:
- Why GitHub Issues are crystallized knowledge
 - How one sentence can generate a complete spec
 - Why context limits aren't actually your problem
 - The moment Claude audits its own work
 
A mental model shift that makes distributed AI development intuitive.
Part 2: The 6-Step Workflow That Makes It Work 
The Pattern That Prevents Chaos
Understanding the stalactite is the "why." The workflow is the "how." Six steps that turn ephemeral conversations into production code without scope creep.
The 6-step cycle:
- Issue-first thinking (before code exists)
 - Worktree isolation (parallel universes)
 - Batch development (small, complete chunks)
 - Human review (the critical gate)
 - Commit locally (never push mid-work)
 - PR only when done (batches complete)
 
Real examples from this project—including the post you're reading now.
Part 3: The Collective - When One Claude Becomes Many 
When One Becomes Many
Here's where it gets wild: multiple Claude sessions, working on different issues, coordinating through GitHub. Solo developer, distributed AI team.
The mental model shift:
- From "chatting with AI" to "orchestrating intelligence"
 - How parallel Claude sessions coordinate without talking
 - Real examples: Omega explored, Tech documented, Hunter planned
 - When NOT to use this approach (critical guardrails)
 
The culmination: a development model that shouldn't work—but does.
Why I'm Writing This 
Every tutorial about AI development shows you the conversation. The back-and-forth. The clever prompts. The impressive outputs.
No one shows you the system.
I'm a solo developer who accidentally built a distributed AI development model. Not because I read about it—because I hit problems and solved them. Context limits. Scope creep. Lost context between sessions. Parallel work on multiple features.
The solutions crystallized into a pattern. A workflow. A way of structuring projects so Claude becomes more capable across sessions, not less.
This series documents that system while it's being used to create the posts you're reading. Meta? Absolutely. Useful? You tell me.
Who this is for:
- Solo developers using Claude Code
 - Teams exploring AI-assisted development
 - Anyone frustrated with context limits
 - Developers who want distributed AI coordination
 
What you'll learn:
- Mental models that make Claude Code intuitive
 - Practical workflows battle-tested in production
 - When to use (and NOT use) these approaches
 - Real examples, not theories
 
Publishing Schedule 
- Week 0 (Nov 2): Landing page (you are here)
 - Week 1 (Nov 4): Part 1 - The Stalactite Principle
 - Week 2 (Nov 11): Part 2 - The 6-Step Workflow
 - Week 4 (Nov 25): Part 3 - The Collective
 
All posts are bookmarkable now. Content reveals progressively.
Stay Updated 
Bookmark, don't wait:
- 🔖 All three post URLs work now—bookmark them for later
 - 📂 Each reveals on its scheduled date
 - 🔔 Follow on X (Twitter), LinkedIn, or Instagram for release announcements
 
While you wait:
- Check out our existing blog posts on AI development
 - Explore the BANCS project to see this system in action
 - Read the open-source documentation that makes it work
 
Attribution: This blog post was co-written with Claude (Chat for ideation and outline, Code for assembly and refinement). The experiences, insights, and creative direction are human; the execution and polish are collaborative.
🎭 The Claude Code Conductor - Orchestrating distributed AI development, one session at a time.
