MC-Guide
Content Writing
Website 186: Codingsight.com
How Can You Earn Money Writing For codingsight.com Website
This guide shows you, step by step, how a beginner can learn to pitch and sell stories to codingsight.com
You will learn what codingsight.com wants, how to test your idea, how to write a pitch, and how payment roughly works. You can use this like a small SOP.
How to Write for CodingSight — A Practical Guide for Beginners
This guide walks a beginner — step by step — from idea to published post on CodingSight. You’ll get: how to pick a site-fit idea, prepare working code and screenshots, build samples, craft a concise pitch, and practical templates (email + outline). Links to learning resources and places to publish practice pieces are included so you can follow along.
Key action: if your idea fits, email the team at marketing@devart.com (CodingSight/Devart asks contributors to send ideas here).
Section 1 · What CodingSight looks for
CodingSight publishes practical, hands-on tutorials and guides — especially around SQL Server, databases, .NET, cloud topics and adjacent developer tooling. Articles that explain a real problem and show working code, scripts, and configuration steps perform best. If you can include downloads, sample databases, or a GitHub repo, that’s a big advantage.
Article types that fit
Strong candidates include:
- Step-by-step how-tos that solve a specific database or dev ops task (backup/restore, indexing, query tuning)
- Migration guides (e.g., on-prem SQL Server → Azure SQL / AWS RDS)
- Tool walkthroughs (how to use a GUI tool, CLI, or extension)
- Integration examples (.NET + EF Core, Python + DB drivers, cloud deployments)
- Practical automation and scripting examples (PowerShell, Azure CLI)
Who reads CodingSight?
Typical readers:
- DBAs and backend developers looking for practical solutions
- Developers who want step-by-step instructions with runnable examples
- Engineers researching migration, performance, and tooling options
Primary source: codingSight’s homepage and contributor instructions explain they accept author proposals and partnership offers (email: marketing@devart.com).
Section 2 · Is your idea a match?
Frame the problem tightly
Ask: what exact problem will the reader solve after following your guide? Good titles start with verbs: “Reduce Azure SQL RDS costs by…” or “Tune a slow query that uses JOINs on large tables.”
Be concrete — give a stack + scenario
Include environment details: versions (SQL Server 2019), OS, client tools, example dataset sizes, and expected results.
Have a demo or scripts
The strongest articles have a downloadable sample (GitHub) or an embedded runnable demo (CodePen or similar for front-end work). For database work, provide SQL scripts and sample CSV data.
Quick exercise
Write this sentence now: “This CodingSight post shows you how to …” — finish the sentence in one line. If the sentence is specific and actionable, your idea is probably a match.
Section 3 · Prepare a small portfolio
Before contacting CodingSight, create 2–4 concrete samples that show you can finish technical pieces: publish on your blog, or on community platforms like Dev.to, Medium, or your company’s engineering blog. These samples act as proof of ability when you email the editors.
What to publish as samples
- A full tutorial (1,200+ words) with code blocks and screenshots
- A GitHub repo with sample data and a README that reproduces your example
- An alternative post on Dev.to or Medium as a writing sample
Aim to make one sample deep enough that it shows you can research, test, and produce polished screenshots and reproducible steps.
| Sample | Why it helps | Where to host |
|---|---|---|
| Tutorial + demo | Shows your end-to-end ability | GitHub + Dev.to |
| Tool walkthrough | Demonstrates practical tool knowledge | Personal blog / Medium |
| Performance case study | Shows measurement & results | Company blog / LinkedIn article |
Section 4 · Concrete pitch workflow (step-by-step)
Study CodingSight articles in your niche
Read 3–5 recent posts on the topic (SQL, .NET, cloud). Notice headings, code style, screenshot sizes, and tone. Mirror that clarity in your outline.
Prepare one tight pitch package
Your package should include:
- 1-sentence article summary (what reader will achieve)
- Bulleted outline with 4–7 sections
- Links to sample work (your best 1–3 articles + GitHub)
- Short bio (what you build, tools, relevant experience)
Email the team (subject + body template below)
CodingSight asks contributors to send ideas to the marketing email listed on the site. Use a concise subject and include the 1-line summary and outline in the email body (examples are in the appendix).
Be ready to iterate
Editors may ask for a narrower angle or a different example dataset. Keep your sample code tidy and modular so you can revise quickly.
If you don’t hear back
Wait 2–3 weeks, then send a polite follow-up. If still no reply, repurpose the article for other publications (Dev.to, Medium, company blog) and try again later with a different idea.
Section 5 · Publishing, credit, and reposting
When an editor accepts your pitch, they’ll confirm publication logistics: deadline, any required exclusivity, file formats, and whether they pay per piece or as part of a partnership. CodingSight is run by Devart and handles authorship via direct arrangements — contact marketing@devart.com to ask about compensation or sponsored post terms.
Typical publication workflow
- Pitch accepted → editor assigns a deadline
- You submit draft (usually doc or markdown) + images/screenshots
- Editor reviews and requests edits
- Final draft published and you get a byline
Republishing: always check the editor’s terms. Many outlets allow cross-posting after a short exclusive period; confirm in writing before reposting on your site.
Section 6 · How to make money from technical writing
Direct payments
Some technical outlets pay per article or per word. CodingSight/Devart may arrange payments or partnership fees — discuss directly via their marketing contact for current terms.
Tip: when you first contact them, ask clearly: “Do you offer a payment or sponsored fee for this type of article?” and provide your expected range if appropriate.
Indirect monetization
- Use published articles to attract freelance clients
- Create paid workshops or courses based on an article topic
- Sell templates, scripts, or small tools referenced in your article
- Affiliate links (only if allowed — disclose them)
A practical approach: view early articles as marketing that builds trust. Even free or low-paid pieces can pay off by landing consulting projects or product sales.
Section 7 · Ethics, AI, and verification
Be transparent. If you used AI tools to draft text or generate code suggestions, edit heavily and run all code yourself. Never publish untested scripts or fictional results. Editors and readers will check. For database examples, include sample data and demonstrate results (explain how you measured improvements, show before/after queries and timing results).
Good practices
- Run every command on a fresh environment and note the exact steps
- Annotate screenshots and include alt text
- Provide a reproducible GitHub repository
- Cite official docs (MSDN/MDN, vendor pages) for commands or parameters
Section 8 · Resources — quick links & learning sites
Below are practical sites, guides, and platforms you’ll use while preparing a submission or building samples. Bookmark them.
- CodingSight — homepage & article archive
- Contact: marketing@devart.com (send pitches & partnership proposals)
- Dev.to — developer community articles
- Medium — publishing platform (tech tags, distribution)
- GitHub — host sample code & release scripts
- CodePen — front-end runnable demos
- Replit — quick multi-language runnable demo hosting
- MDN Web Docs — authoritative web docs
- Microsoft Docs — SQL Server & .NET docs
- Stack Overflow — troubleshooting & Q&A
- freeCodeCamp News — long tutorials and audience building
- Towards Data Science — example for data/analytics posts
- HackerRank / LeetCode — practice platforms (for algorithmic examples)
- YouTube — create short videos to accompany articles
- LinkedIn — publish teasers and attract clients
Places to publish practice pieces
- Dev.to — quick distribution and an active community
- Medium — longform pieces, paywall options
- Your own blog — full control, best for long-term portfolio
- Company engineering blog — if you have workplace permission
Appendix · Sample pitch, outline & checklist
Sample email subject lines (pick one)
- “Pitch: Practical guide — Tuning joins on SQL Server 2019“
- “Article idea for CodingSight: Automate DB backups with PowerShell & Azure Blob“
- “Proposal: step-by-step migration — SQL Server → Azure SQL Managed Instance“
Sample email body (short)
Hello CodingSight team,
My name is [Your Name]. I’m a [your role — e.g., DBA / backend dev] who works with SQL Server and Azure.
I’d like to propose an article:
Title: Tuning JOIN performance on SQL Server 2019 (practical patterns)
One-line: This post shows how to identify slow joins, rewrite queries, and use indexing strategies to reduce execution time by X–Y%.
Outline:
• Why joins go slow — common causes
• How to reproduce the slow query (sample data + script)
• Step 1: analyze plan + identify bad operators
• Step 2: rewrite using derived tables / apply / temp tables
• Step 3: indexing and statistics adjustments
• Result: before/after timings + takeaways
Writing samples:
• https://yourblog.example.com/tuning-query
• https://dev.to/yourname/fast-joins
GitHub demo: https://github.com/yourname/sql-join-demo
I can deliver a draft in 3–4 weeks. Happy to adapt angle/dataset as you prefer.
Best,
[Your name]
[email] / [LinkedIn]
Detailed outline template (copy & adapt)
Title:
One-line summary:
Estimated wordcount: (1200–2500)
Intro
• Short problem statement (1–2 paragraphs)
• Real use case (why it matters)
• What reader will have by the end (deliverable/demo)
Prerequisites
• Tools, versions, sample data links (GitHub)
Section 1 — Setup and reproduce the problem
• Provide scripts, sample CSV, or SQL to set up
Section 2 — diagnose (explain the steps, show output)
• Show EXPLAIN / execution plan
• Highlight key metrics to watch
Section 3 — fix 1 (simple approach)
• Steps, code, and small explanation
Section 4 — fix 2 (advanced approach)
• Steps, tradeoffs, performance numbers
Section 5 — production tips & pitfalls
• When not to use each method
• Security, permissions, cost considerations
Conclusion
• Recap, recommended next steps, further reading links
Appendix / repo
• Link to GitHub, scripts, test data, optional downloadable ZIP
Pre-pitch checklist (tick before sending)
- One-line summary is clear and action-oriented
- Outline shows 4–7 sections with clear steps
- At least one working sample (GitHub/Dev.to/Medium)
- Screenshots and code are reproducible
- All external commands/versions are specified
- I included a short bio that highlights relevant experience