hookedonkiro @kirodotdev
As someone deeply involved in SEO automation and content operations, I’ve always looked for ways to reduce repetitive work and bring scale to content publishing. Manual blog uploads, formatting, SEO tagging, and schema updates were not only time-consuming but also prone to human error.
So, I set out to solve a challenge I’ve faced often:
👉 How can we take blog content from writers and publish it—fully SEO-optimized—to a WordPress site automatically, with zero manual steps?
This post is about how I built that solution using Python, GCP, and WordPress APIs—and how Kiro, an AI coding agent, made the development process faster, smarter, and far more efficient than I expected.
🧩 The Problem: Manual SEO Blog Publishing at Scale
In content-heavy organizations, publishing blogs is often a bottleneck:
- Writers create content in Google Docs or Sheets.
- An SEO team optimizes meta tags, internal links, schema markup, and headings.
- Someone then logs into WordPress, pastes the content, formats it, uploads images, sets categories and tags, and hits publish.
Doing this manually for just 2–3 blogs a week is fine. But when scaling to 30+ per month across different brands, it becomes a productivity killer.
Worse, inconsistencies creep in:
Broken formatting. Missed meta. Forgotten schema. And inconsistent SEO structure across posts.
I wanted to fix all of that with automation.
💡 The Vision: A Fully Automated SEO Blog Pipeline
Here’s what I envisioned:
- Writers submit their blogs in a structured Google Sheet. Each row includes:
- Title
- Meta description
- Content body (with basic formatting)
- Tags
- Category
- Featured image URL
- A Python script, triggered on demand or on schedule, would:
- Pull the latest row from Google Sheets via Google Sheets API
- Parse and clean the content
-
Apply SEO enhancements:
- Generate or validate meta tags
- Add schema markup (JSON-LD)
- Format internal links
- Attach image metadata
Use WordPress REST API to publish the blog post automatically.
- The blog appears on the site instantly—SEO-ready, properly formatted, and live.
No manual uploads. No copy-pasting. No back-and-forth between teams.
🛠️ Building It with Python + GCP + WordPress
Technically, this required tying together multiple APIs and ensuring clean data flow between them.
Here’s a quick breakdown of the tech stack:
🔗 Google Sheets API
To fetch blog content written by content writers in a tabular, structured format.
🐍 Python
For scripting all automation tasks—reading Sheets, transforming data, applying SEO logic, and calling WordPress APIs.
🌐 WordPress REST API
For posting content to the website, along with tags, categories, featured image, and post status.
⚙️ Optional: Google Cloud Functions
To make the automation trigger-based and serverless for future scalability.
🤯 Enter Kiro: AI Coding That Actually Understands Context
Now comes the game-changer: Kiro.
I’d heard about Kiro being an AI developer assistant but didn’t expect it to be this good. Instead of just asking ChatGPT for snippets, I could give Kiro a project spec, and it would generate structured, modular code—fast.
Here’s how I used Kiro:
🧠 Step-by-Step Problem Breakdown
I didn’t dump the whole problem at once. I structured my prompts like this:
- "Write a Python function to pull data from a Google Sheet"
- "Now validate the content fields and flag empty cells"
- "Generate JSON-LD schema based on blog title and content"
- "Use WordPress REST API to post content including tags and featured image"
Kiro handled each task with precision—and stitched everything together seamlessly.
✨ Most Impressive Code
The highlight was a single Python script that:
- Fetched blog data
- Cleaned and validated it
- Applied SEO elements like meta + schema
- Posted it directly to WordPress
It even included error handling, logging, and retry logic—things I usually add at the end but Kiro built in from the start.
⚡ Rapid Iteration
I could ask Kiro:
"Refactor this to use environment variables for API keys"
"Add logging for failed image uploads"
"Add a fallback if the meta description is missing"
It responded like a dev teammate—not just a code snippet bot.
✅ Final Outcome: Fully Automated, SEO-Friendly Blog Publishing
After a few iterations and tests, here’s what I had:
🔹 A Python-driven system that runs in minutes
🔹 No need to manually copy-paste blogs
🔹 Automatic SEO enhancements (meta, schema, links)
🔹 Consistent publishing with reduced human error
🔹 Easily scalable for any volume of blogs or websites
The content team just updates a Google Sheet.
The dev pipeline does the rest.
🔍 Why This Matters for Devs
We often waste time solving the same structural problems over and over—fetching, cleaning, transforming, and pushing data between platforms.
Kiro helped me skip boilerplate and go straight to building value.
With it, I moved faster, thought more clearly, and could delegate routine parts of development while focusing on architecture, logic, and testing.
It was like pairing with a senior dev who’s available 24/7 and never tires of feedback loops.
🏆 Why I’m #hookedonkiro
Here’s what truly stood out:
- Spec to code: Kiro turned rough specs into functional code without losing context.
- Modularity: Every function was clean, reusable, and logically structured.
- Time saved: Reduced dev time by 60–70%—especially during debugging and refinement.
- Confidence: Knowing the generated code followed best practices gave me peace of mind.
For any developer dealing with API automation, content workflows, or platform integrations—Kiro is a cheat code.
🧵 TL;DR – What I Built with Kiro
- 🧾 Blog content lives in Google Sheets
- 🧠 Kiro-generated Python fetches, cleans, and SEO-optimizes it
- 🌍 WordPress REST API publishes it live
- ✅ 100% automated, SEO-ready, and scalable
- 🛠️ Kiro made the dev process faster, cleaner, and smarter
#hookedonkiro @kirodotdev
#Python #WordPress #SEO #Automation #DeveloperTools #ContentOps #GCP #BlogAutomation #AIinDev #NoManualPublishing #Kiro
Top comments (0)