57,415 Lines of Code in One Day
By Patrick J. Hardiman II
Lines Shipped
November 30, 2025 — One developer and 6 coordinated Claude Code CLI windows shipped 57,415 net lines of production code today. This is the first entry in the LxMerit dev diary.
The Numbers
| Metric | Value |
|---|---|
| Developers | 1 |
| Claude Code Windows | 6 |
| Total Commits | 7 |
| Files Changed | 281 |
| Lines Added | +65,986 |
| Lines Removed | -8,571 |
| Net New Lines | +57,415 |
| Smoke Tests | 281 passing |
By Language
| Type | Files | Net Lines |
|---|---|---|
| Python (API/Services) | 96 | +19,110 |
| TypeScript/Svelte (Frontend) | 76 | +8,806 |
| SQL (Schema/RLS) | 11 | +4,133 |
| JSON (Config/Tests) | 13 | +8,909 |
| YAML (Manifests) | 8 | +979 |
| Markdown (Docs) | 53 | +14,152 |
What We Shipped
Six complete sprints in a single day:
- v0.1.0 — Role System + API + Admin UI
- v0.2.0 — Students Sprint (SITS Access Model)
- v0.2.1 — Hardening Sprint (Security Fixes)
- v0.3.0-p1 — Courses API (178 smoke tests)
- v0.3.0-p2 — Content Storage + PDF Viewer (228 smoke tests)
- v0.3.0-p3 — Batch Import Pipeline (281 smoke tests)
Architecture Delivered
- FastAPI backend with row-level security
- SvelteKit admin UI for platform management
- PostgreSQL schema with RLS policies
- Content storage abstraction (local + Cloudflare R2)
- PDF/video/image viewer components
- Batch course import with ZIP upload
- SSE real-time progress streaming
- CLI tool with Rich progress bars
Key Patterns
- SITS Access Model: Student Is The Sun — a gravitational data model where the student record is central and all access radiates outward. Records stay with the student, enabling organization-agnostic portability.
- 18 roles across 4 contexts: Platform, Organization, Course, Student
- Content deduplication via SHA-256 hash registry
- Manifest-driven course population: Upload YAML, create a course
- SKIP LOCKED job queue: PostgreSQL-native async processing
The Process
6-Window Configuration
I ran 6 Claude Code CLI windows in parallel, each with a specialized role:
- Strategist: Architecture decisions, blocker resolution
- PM: Progress tracking, Jira updates, handoff management
- W1-W4: Worker windows executing tickets
Coordination Bus
All windows communicate via a JSONL event bus. Events look like:
{"ts":"2025-11-30T21:11:55","src":"w1","type":"task.completed","ticket":"L2DEV-268","summary":"ZIP Import integration complete"}
{"ts":"2025-11-30T21:12:36","src":"strategist","type":"blocker.resolved","for":"all","action":"Docker rebuild complete"}Workers emit status. Strategist handles infrastructure. PM tracks completion.
Session Continuity
Each Claude session has limited context. To maintain continuity across sessions, I use structured handoff files and resurrection scripts that capture:
- Work completed and in-progress
- Key decisions and their rationale
- Blockers and next priorities
- File paths and context needed to resume
When a session ends or context fills, the active window writes a handoff. Resurrection scripts provide bootstrap instructions for fresh sessions — which handoff to load, which tickets to work, which role to assume. The next session reads these files, restoring working memory. This enables multi-day initiatives without losing the thread — AI-assisted stream of consciousness development.
Workflow
- Strategist reviews epic, decomposes into tickets
- PM dispatches tickets to workers via bus
- Workers execute, emit progress events
- Blocked workers signal strategist
- Strategist resolves blockers (Docker rebuilds, architecture decisions)
- PM tracks completion, updates Jira
- Repeat until sprint complete
Why This Matters
This demonstrates that one developer with coordinated AI agents can ship production software at unprecedented velocity.
The output is production-grade:
- Fully typed (Python + TypeScript)
- Tested (281 smoke tests passing)
- Secure (RLS, authentication, input validation)
- Documented (API docs, architecture decisions)
I’m building LxMerit — an AI-powered merit-based learning platform. Today’s work delivers:
- Complete course management API
- Content upload and delivery
- Batch import for curriculum at scale
- Real-time progress tracking
What’s Next
The batch import pipeline enables populating entire 36-week courses from a single manifest file. Next sprint: connect to real curriculum content.
This dev diary will track velocity as I build — an impromptu LxLedger data point demonstrating that merit can be measured.
One developer. Six Claude Code windows. One day. 57,415 lines.
Patrick J. Hardiman II
Founder, LxMerit
L(earn)² = Merit