How I Actually Organize Technical Knowledge (After Failing with Notion Databases)
I went from 2,000+ unorganized bookmarks to a queryable knowledge system. Here's the modified Zettelkasten structure that actually works for code.
James Okonkwo
Serial startup engineer with 3 successful exits under his belt. James has been employee #1-10 at multiple companies and specializes in making pragmatic tech decisions that actually ship products.

Last year, I spent three hours solving a pagination bug in a Next.js project. The fix was elegant, specific to our use case, and genuinely clever. Pride-worthy, honestly.
Six months later, the exact same problem appeared on a different project. Did I remember that solution? Of course not. Two more hours vanished into Stack Overflow scrolling and increasingly frustrated Googling, until I eventually stumbled on my own GitHub commit from the previous project. That moment crystallized something: the system was broken.
Research on memory retention suggests we forget about 70% of new information within 24 hours without reinforcement. Tutorials watched, documentation skimmed, clever solutions discovered at 2 AM: all of it dissolves into a fog of "I've definitely seen this before." For self-taught developers (and after learning entire tech stacks on the job at six different startups, that describes me well), this isn't just annoying. It's expensive. Time is money, and rebuilding knowledge you already had is the worst kind of waste.
A second brain for developers isn't some productivity guru fantasy. It's a practical system for capturing, connecting, and retrieving the technical knowledge you actually need. After two years of refining this approach, 2,000+ unorganized bookmarks have transformed into a queryable knowledge system that makes me measurably faster. Here's the system.
Why Generic Note Systems Fail Developers
Most note-taking advice comes from academics or business consultants. Their systems work great for synthesizing books and managing meeting notes. But technical learning has different demands.
Think about what developers actually need to capture:
- Code snippets that work in specific contexts
- Mental models for how systems behave
- Debugging patterns (the "if you see X, try Y" knowledge)
- API quirks and undocumented behaviors
- Architecture decisions and their trade-offs
Generic note systems like bullet journaling or basic folder hierarchies collapse under this weight. You end up with a "JavaScript" folder containing 200 notes, and finding anything requires remembering exactly what you called it.
A solid note-taking system for learning to code needs three things most systems ignore: code-friendliness (syntax highlighting, easy copy-paste), connection-awareness (linking related concepts across languages and frameworks), and retrieval speed (finding solutions when you're stuck, not when you're organizing).
Junior developers often build elaborate Notion databases with 47 columns of metadata. Looks beautiful. But will it ship? Can they actually find what they need while debugging at 11 PM? Usually not.
Developer Second Brain Architecture: Zettelkasten Modified for Code
Traditional Zettelkasten (German for "slip box") focuses on atomic ideas linked together. Powerful stuff, but raw Zettelkasten assumes you're writing essays, not shipping features. Some adaptation for software engineering is necessary.
The modified structure looks like this:
A Three-Layer System:
-
Capture Layer (Inbox) – Raw notes, snippets, screenshots. No organization required. Just get it in.
-
Processing Layer (Working Notes) – Cleaned up, tagged, linked to related concepts. Atomic notes live here.
-
Action Layer (Maps of Content) – Topic hubs that answer specific questions. "How do I handle authentication in Node?" links to relevant atomic notes.
Links are where this actually pays off. Something about React state management doesn't just get filed under "React." Instead, it connects to related concepts: JavaScript closures, Redux patterns, that weird bug with stale closures in useEffect. Building a personal knowledge base for tech skills means creating a web, not a filing cabinet.
Tagging Convention:
#snippet– Copy-paste ready code#mental-model– Conceptual understanding#gotcha– Things that bit me#decision– Why I chose X over Y#question– Still need to figure this out
Obsidian vs. Notion for Technical Knowledge Management: A Developer's Honest Comparison
Both tools have gotten extensive use in various projects. Here's what emerged.
Obsidian wins for:
- Local-first storage (your notes are just Markdown files)
- Blazing fast search, even with 5,000+ notes
- Plugin ecosystem (the Dataview plugin alone is worth switching for)
- Code blocks that actually look good
- Graph view for visualizing connections
- Works offline on planes, in coffee shops with bad Wi-Fi
Notion wins for:
- Collaboration (if your team needs shared knowledge)
- Database views (Kanban boards, tables, calendars)
- Web clipper that's actually good
- Prettier out of the box
- Less setup time
The verdict: Obsidian for your personal second brain, Notion for team wikis. Both live in the workflow, but they serve different purposes.
Speed was the deal-breaker. When you're stuck on a problem, you need answers in seconds. Notion's search lag, even minor, breaks flow. Obsidian feels instant.
The Actual Obsidian Setup for Software Development:
- Core plugins: Backlinks, Graph View, Templates, Daily Notes
- Community plugins: Dataview (for querying notes like a database), Templater (for smart templates), Code Block Enhancer
- Theme: Minimal with some custom CSS
Building Your Personal Knowledge Base: Setup Guide for Self-Taught Developers
You can set up a second brain for technical learning in about an hour. Here's the process.

Step 1: Create Your Folder Structure
Keep it simple:
📁 Inbox (daily captures, unprocessed)
📁 Notes (processed atomic notes)
📁 Maps (topic overviews that link to notes)
📁 Projects (active project notes)
📁 Archive (completed projects)
📁 Templates
Don't create 50 folders upfront. You'll end up paralyzed by categorization. Let structure emerge from actual use.
Step 2: Create Three Essential Templates
Snippet Template:
# [Language/Framework] – [What it does]
## Context
When would you use this?
## Code
\`\`\`language
// paste here
\`\`\`
## Notes
Any gotchas or modifications needed
## Related
- [[link to related concepts]]
Concept Template:
# [Concept Name]
## One-Sentence Explanation
Explain it like you're texting a friend
## How It Works
The actual mechanics
## When to Use It
Practical applications
## Common Mistakes
What trips people up
## Related
- [[links]]
Problem-Solution Template:
# Problem: [What went wrong]
## Symptoms
What did you observe?
## Root Cause
Why did it happen?
## Solution
What fixed it?
## Prevention
How to avoid it next time
## Tags: #gotcha #[technology]
Step 3: Set Up Quick Capture
A personal knowledge base setup that actually works is one you'll actually use. Minimal friction is everything.
On desktop, a hotkey opens the inbox. On mobile, Obsidian's share sheet works, or just text yourself and process later.
The rule: capture in under 30 seconds, or you won't do it.
Step 4: Schedule Weekly Processing
Thirty minutes every Sunday morning goes to processing the inbox. Coffee, jazz on the speakers, inbox zero by 10 AM. Honestly, this habit matters more than any tool choice.
The 15-Minute Capture Workflow: Processing Tutorials, Docs, and Solutions That Stick
Here's the actual workflow for organizing technical notes and documentation without losing your mind:
Watching a Tutorial:
Don't take notes constantly. It breaks focus. Instead:
- Watch first, code along
- At natural breaks, jot key insights (30 seconds max)
- After finishing, spend 10 minutes creating atomic notes for anything genuinely new

The question to always ask: "Will I need this in six months?" If yes, it gets a note. Basic syntax you'll remember? Skip it.
Reading Documentation:
- Skim first for structure
- Read carefully only sections relevant to your current project
- Capture with context: "In [Project X], I used this API because..."
Context is everything. "How to use fetch()" is useless. "Using fetch() with retry logic for flaky APIs in our payment integration" is findable.
Solving a Bug:
Before closing the browser tabs, spend five minutes creating a problem-solution note. Recording solutions is how you actually remember what you learn while programming. A solution that took three hours to find should take 30 seconds to recover.
The 15-Minute Daily Capture Block:
Every evening before shutting the laptop:
- Process anything in the inbox (5 minutes)
- Add links to related notes (5 minutes)
- Quick scan: does anything need a Map of Content entry? (5 minutes)
Small, consistent effort beats weekend marathon organization sessions. Every time.
From Notes to Action: How to Query Your Second Brain When You're Stuck
Hoarding knowledge isn't the point of a second brain for developers. Retrieving knowledge when you need it? Now we're talking.
The Retrieval Workflow:
Whenever you're stuck, ask three questions in order:
- Do I have a snippet for this? Search:
#snippet [technology] - Have I hit this problem before? Search:
#gotcha [symptoms] - What's the mental model for this domain? Check the relevant Map of Content
About 90 seconds, total. Either you find the answer, or you know you're in genuinely new territory and need to Google.
Using Dataview for Smart Queries:
Obsidian's Dataview plugin lets you query notes like a database. A "Recent Gotchas" dashboard showing all #gotcha notes from the last 90 days proves incredibly useful for avoiding repeat mistakes.
Example query:
TABLE file.ctime as "Found"
FROM #gotcha
WHERE file.ctime >= date(today) - dur(90 days)
SORT file.ctime DESC
The "Stuck on a Project" Protocol:
Whenever genuinely blocked, open the project note and look at the "Related Concepts" links. Usually, the answer's hiding in adjacent knowledge you've already captured.
Last month, a GraphQL subscription kept dropping connections for no apparent reason. Notes on WebSocket handling pointed to a timeout configuration documented a year ago. Problem solved in 10 minutes instead of two hours. Remember that pagination bug from the opening? Same principle. The knowledge existed; the system just couldn't surface it.
Your past self helping your present self, preventing those maddening "I've solved this before" moments.
Look, this system could change how you work. But will it ship? That depends entirely on whether you actually build it.
Here's your roadmap for week one:
Day 1: Install Obsidian (free). Create the basic folder structure. Import the three templates described above.
Days 2–5: Don't change anything else. Just capture. Every time you solve a problem, learn something, or find a useful snippet, throw it in your inbox. Messy is fine.
Day 6: Spend 30 minutes processing. Turn raw captures into atomic notes. Add a few links.
Day 7: Create one Map of Content for a technology you use frequently. Link to your existing notes.
That's it. One week, maybe two hours total. You'll have the foundation of a personal knowledge base that compounds over time.
Zettelkasten works for software engineering students and self-taught developers because it matches how technical knowledge actually connects. Concepts link to implementations. Bugs link to solutions. Decisions link to trade-offs.
After two years with this system, the time savings probably total hundreds of hours. But more than time, it's saved frustration. "I know I've seen this before" gets replaced with actually finding what you need.
Your bookmarks are chaos. Your future self deserves better.
Start today. Keep it simple. And remember: a system only works if you'll actually use it.
Want the actual templates? They're on GitHub: [link to template repo]. Fork them, modify them, make them yours. The only rule is you actually have to use them.
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