I. Automated Tracking

Git as your Knowledge OS

Every commit is a memory write. Every git log is memory retrieval.

The Problem

Without Automated Tracking

Repeat the same mistakes across sessions
Lose context between work sessions
Cannot build on previous learnings
No audit trail for decisions

With Automated Tracking

Institutional memory that compounds
Full context retrieval via git log
Build on previous discoveries
Complete audit trail

The Solution

Traditional Git

git commit -m "fix bug"

No context. No learning. No memory.

12-Factor Git

fix(validation): prevent empty config

Context: Silent failures with empty values
Solution: Validate in parse_config()
Learning: Always validate inputs
Impact: Zero errors in 50+ deploys

The Four Components

Every commit captures:

Context

Why this work was needed

Solution

What was done and how

Learning

Reusable insights

Impact

Quantified outcome

Why It Works

::: info Compounding Knowledge Session 1: Discovered pattern A

Session 2: Built on A, discovered B

Session 3: Combined A + B for 10x speedup

Session 50: 50 sessions of compounded learning :::

Query Your Knowledge

::: code-group

git log --grep="fix:" --oneline

git log --grep="Learning:" -p

git log --grep="Context:" --since="1 month"

:::

Implementation Checklist

Use semantic commit prefixes (feat:, fix:, docs:)
Include Context in commit body
Document Learning for future sessions
Quantify Impact when possible
Query history before starting new work

Real Example

::: tip Recent Commits a1b2c3d feat(auth): add JWT refresh token rotation

Context: Tokens expiring mid-session
Learning: Always implement refresh before access expires
Impact: Zero auth interruptions

d4e5f6g fix(cache): prevent stale reads after write

Context: Users seeing old data after updates
Learning: Invalidate cache on write, not read
Impact: 100% read-after-write consistency :::

Factor	Relationship
II. Context Loading	Load history JIT
VI. Resume Work	Use git for session continuity
IX. Mine Patterns	Extract patterns from history