Finding Topics Worth Writing
The hardest part of technical blogging is not writing. It is deciding what to write about. Most people stall because they think they need a novel insight or deep expertise. They do not. The best technical blog posts come from one place: real problems you actually solved. If you spent two hours debugging something today, you have a blog post. If you learned a concept that finally clicked after months, you have a blog post. Stop brainstorming topics and start paying attention to your own work.
Write What You Just Learned
The single most reliable source of blog post topics is the thing you figured out this week. Not last year. This week.
When you learn something new, you have a temporary superpower: you remember what it was like to not understand it. Experts forget this. They skip over the exact details that trip up beginners because those details became invisible through familiarity. A post written by someone who just struggled through a problem is often more useful than one written by someone who has known the answer for five years.
Good timing:
"I just figured out how connection pooling works in PostgreSQL
after three days of debugging timeout errors."
Bad timing:
"I've been using PostgreSQL connection pooling for years,
let me write a comprehensive guide."
The first version will include the specific error messages, the wrong assumptions, the dead ends. The second version will be a polished summary that skips everything the reader actually needs.
"Today I Solved X" Posts
The simplest blog post format is: "I had this problem. Here is how I solved it." That is it. No grand thesis required.
These posts work because they match exactly how people search for technical help. Someone hits an error, copies it into a search engine, and lands on your post where you hit the same error.
Post titles that attract real traffic:
"Fixing CORS errors when your API gateway sits behind CloudFront"
"Why my Kubernetes pods kept getting OOMKilled at 50% memory usage"
"Migrating from Webpack 4 to 5 when you have custom loaders"
"The PostgreSQL query that was fast locally but slow in production"
These are not groundbreaking topics. They are specific, searchable problems that hundreds of other developers will encounter. Each one started with someone spending hours on a real issue and writing down what they found.
The Anatomy of a "Today I Solved X" Post
1. The problem — what you were trying to do, what went wrong
2. What you tried first — the obvious approaches that did not work
3. The insight — what you finally discovered
4. The solution — the actual fix, with code
5. Why it works — brief explanation so the reader understands, not just copies
You do not need all five sections every time. Sometimes the post is just sections 1, 3, and 4. That is fine. A short, specific post that solves one problem is better than a long, vague post that half-explains five things.
What You Struggled With
Struggle is signal. If something was hard for you, it is probably hard for other people too. The documentation is probably lacking. The error messages are probably confusing. The concepts probably have poor explanations online.
Topics that come from struggle:
- A library's documentation assumes knowledge you did not have
- Two tools that should work together but require non-obvious configuration
- A concept that every tutorial explains the same way, but that explanation never made sense to you
- A migration path that the official guide describes in five steps but actually takes fifty
Struggle-based topics:
"What the Rust borrow checker is actually trying to tell you"
"Docker networking: the mental model I wish I had from day one"
"Why every OAuth2 tutorial confused me and what finally clicked"
"The gap between 'learn SQL' and 'write production queries'"
These posts tend to have long shelf lives. The underlying confusion persists because documentation keeps making the same assumptions.
What You Wish Someone Had Told You
Think about the last technology you adopted. What did you learn in month three that would have saved you weeks if you had known it in month one?
Examples:
"Before you adopt GraphQL, know that caching gets dramatically harder"
"The first thing to configure in a new Terraform project is state locking"
"If you're learning Vim, start with just 10 commands, not the full tutorial"
"React Server Components are not a replacement for client components —
you need both, and the boundary between them matters"
This category is especially valuable because it saves other people real time. The information exists somewhere, scattered across GitHub issues and Stack Overflow comments, but no one has assembled it into a clear "things I wish I knew" post.
Do Not Wait Until You Are an Expert
This is the biggest blocker for would-be technical writers. They think they need to be an authority on a subject before they can write about it. This is wrong for three reasons.
First, expertise is not binary. If you know more than someone who knows nothing, you can help that person. You do not need to know everything.
Second, beginners write better beginner content. They know what needs explaining because they just needed it explained to themselves.
Third, you will never feel expert enough. The bar keeps moving. If you wait until you feel qualified, you will never publish anything.
Acceptable levels of knowledge for writing a blog post:
"I just learned this today" — write a "today I learned" post
"I've used this for a few weeks" — write a getting-started guide
"I've used this for a few months" — write about trade-offs you've found
"I've used this for years" — write about advanced patterns
All four are valuable. None requires being "the expert."
Add a Disclaimer If You Are Worried
If it makes you more comfortable, add a brief note at the top:
"I've been using Kubernetes for about three months. This post covers
what I've learned so far — corrections welcome."
This sets expectations honestly and invites helpful feedback rather than criticism. Most readers will appreciate the honesty.
Where Not to Look for Topics
Avoid these sources of topic ideas. They produce generic, low-value posts.
Bad topic sources:
"Top 10 JavaScript frameworks in 2026"
— listicles with no original insight
"Introduction to Docker"
— covered by thousands of existing posts
"Why language X is better than language Y"
— flame bait, not useful content
"The future of AI in software development"
— speculation without substance
"A complete guide to microservices"
— too broad, you will either write a book or skim everything
The common thread: these topics do not come from your experience. They come from trying to guess what is popular. Write from your experience, not from trend analysis.
Keeping a Topic List
Carry a running list. When you hit a problem, jot down one line. When you learn something surprising, jot down one line. When you explain something to a coworker for the third time, jot down one line.
Topic backlog examples:
- That time our CI build broke because of timezone differences in tests
- How I set up local development to mirror production networking
- The difference between soft deletes and hard deletes in practice
- Why our team switched from Jira to Linear and what we gained/lost
- Making Python type hints actually useful instead of just decorative
You will not write all of these. That is fine. The list is a buffer so that when you sit down to write, you are not starting from zero. Pick the one that still feels interesting and start.
Validating a Topic Before You Write
Not every idea on your list deserves a full post. Before you invest an hour writing, spend five minutes on a quick check.
Topic validation questions:
Can I explain the problem in one sentence?
If not, the topic is too broad. Narrow it.
Would I have searched for this six months ago?
If yes, other people are searching for it now.
Can I include code, config, or a concrete example?
If not, the post may be too abstract to be useful.
Is there a specific outcome the reader gets?
"Understand X" is weak. "Fix X" or "Set up X" is strong.
If a topic passes these checks, it is worth writing. If it fails, refine it or pick a different one from your list.
From Topic to Draft
Once you have a topic, do not outline. Do not plan. Just start writing. Explain the problem. Explain what you did. Explain what happened. Get the ugly first draft out.
You can restructure later. You can cut later. You can polish later. But you cannot edit a blank page. The goal of topic selection is to get you past the blank page as fast as possible.
The process:
1. Something happens at work (bug, learning, decision)
2. Write one sentence describing it in your topic list
3. When you have time, pick one and write for 30 minutes
4. Do not stop to research, edit, or second-guess
5. You now have a draft — editing is a separate step
The biggest enemy of writing is not lack of ideas — it is the gap between having an idea and starting the draft. A topic list eliminates that gap. You sit down, pick one, and write. No brainstorming session required.
Common Pitfalls
- Waiting for the perfect topic. There is no perfect topic. There is only the topic you actually write about. Ship it.
- Writing for experts when you are not one. Write for the audience one step behind you. That is the audience you can genuinely help.
- Choosing topics that are too broad. "How databases work" is a book. "Why adding an index made my query 100x faster" is a blog post. Go narrow.
- Confusing popularity with value. A post that helps 50 people solve a specific problem is more valuable than a post that 5,000 people skim and forget.
- Overthinking SEO. Write a clear, specific title that describes the problem. That is 90% of technical SEO. Do not keyword-stuff.
- Abandoning posts because you found an existing article. Your version, written from your experience, will help a different set of people. Publish it anyway.
Key Takeaways
- The best blog post topics come from real work: bugs you fixed, things you learned, concepts that finally clicked.
- "Today I solved X" is a complete, valid, and valuable post format. Use it freely.
- Write from the trenches, not from the mountaintop. Beginners write better beginner content than experts do.
- Keep a running topic list so you never face a blank page with no ideas.
- Narrow beats broad. Specific beats general. Real beats theoretical.
- Do not wait until you feel like an expert. You will never feel like an expert. Write anyway.