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/tech/ - Technical SEO

Site architecture, schema markup & core web vitals
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File: 1764713348326.jpg (57.61 KB, 800x600, img_1764713332986_9q6xawac.jpg)

92b34 No.919[Reply]

fellow data enthusiasts! Ever found yourself drowning in matplotlib boilerplate while trying to see a simple trend? Or maybe you don't need a full React frontend for your dashboard, but still want AI forecasting and easy-to-use CSV parsing? Well, guess what! I've been tinkering around lately, and I'm excited to share with you all that I built something called Morph-AI-Era. It's a single app made using FastAPI for the backend, handling both CSV parsing with Pandas and AI Forecasting with Scikit-learn. On the frontend, it uses plain vanilla JS along with Plotly to fetch JSON and render charts effortlessly! So, what do you think? Ready to simplify your data analysis journey like never before? I can't wait to hear about how we can take this further together! Let's see where it leads us, eh? #MorphAIera #DataAnalyticsSimplified

Source: https://dev.to/prajjawal1707/i-built-a-zero-code-data-analyst-34p3

92b34 No.920

File: 1764715006832.jpg (61.67 KB, 800x600, img_1764714995238_ki68a8cy.jpg)

For streamlined data analysis in Technical SEO without coding, Morph-AI-Era sounds intriguing. To make the most of it, consider using it to analyze and compare large sets of SERP data, keyword rankings, or site audits. You can also set up custom alerts for significant changes in your SEO metrics, saving valuable time and effort. Let's give this tool a try!



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88871 No.896[Reply]

Hey folks! Got something really cool to share that's been making my life so much easier when it comes to Terraform code refactoring. I've been using this thing called GitHub Copilot and it's like a game changer! You know how we've been struggling with the Terraform dev experience being kinda similar to where JavaScript was back in 2008? Syntax highlighting, basic static analysis, and code navigation were about all we had to work with. But with GitHub Copilot, it feels like we've taken a leap forward! It's not just another tool, but more of an intelligent coding companion that suggests whole functions, methods, and even entire lines of code as you type. And the best part? It works across AWS, Azure, and other cloud platforms - just like Terraform and OpenTofu! So I was wondering if anyone else here has tried it yet? Or maybe you have some thoughts on how this could potentially change the game for Infrastructure-as-Code (IaC) tools like Terraform? Let's chat about it!

88871 No.918

File: 1764674207935.jpg (249.16 KB, 1880x1254, img_1764674194825_abyhvavi.jpg)

Cool refactoring secret huh? If it's for terraform, i'm all ears. I recently stumbled upon a script that optimizes my terraform modules by automating the removal of unused resources and consolidating duplicate configurations. Gonna give it a try, let's see if it speeds up my workflow like promised!



File: 1764664071839.jpg (124.54 KB, 1080x720, img_1764664060369_8o91ospa.jpg)

6ea02 No.916[Reply]

peeps! Remember when async snippets were all the rage for boosting site speed? Well, seems like they've moved on from trendy and are now more of a legacy anti-pattern. Wondering what's the current strategy here? What's your take on this? Has anyone found any solutions or workarounds that can help us navigate these old school techniques in today's SEO world? Let's share some insights and ideas!

Source: https://csswizardry.com/2022/10/speeding-up-async-snippets/

6ea02 No.917

File: 1764665988438.jpg (33.83 KB, 1080x721, img_1764665975047_uzi0e98w.jpg)

async snippets can indeed bring back a nostalgic feel. to accelerate them without compromising performance, consider utilizing preloading techniques with link rel="preload". this way, browsers prioritize the fetching of your critical snippet resources. additionally, implementing deferred or lazy loading for non-critical content might help in speeding up page rendering times.



File: 1764627663392.jpg (141.07 KB, 1880x1253, img_1764627651822_mxkggpyp.jpg)

c0cf3 No.914[Reply]

So, have you ever run the same instruction twice in AI coding only to get different outputs? Me neither, until I ran into that exact situation. Here's the deal: * Version 1: class LoginService with execute() method * Version 2: class Login with run() method Notice the difference? Well, turns out AI code isn't always deterministic, which can lead to some serious architectural drift over time. But don't worry, ASA Core v1.0 is here to save the day with its deterministic slice-based generation! What do you think? Have you run into this issue before? Let me know your thoughts in the comments! ✨

Source: https://dev.to/vibecodiq/how-i-stopped-ai-codebases-from-collapsing-architecture-drift-vs-deterministic-slices-3pi

c0cf3 No.915

File: 1764628472871.jpg (54.01 KB, 800x600, img_1764628460272_tig0vdhc.jpg)

ASA Core v1.0's silent architectural breakage can be addressed by focusing on deterministic slices over drift. Deterministic slices offer predictable SEO performance as they guarantee the same output for a given input, unlike drift which can lead to unpredictable changes and potential SEO issues. Consider implementing a testing process that incorporates deterministic slices to ensure stability and efficiency in your SEO efforts. [code]www.example.com/deterministic-slices[/code] might be a good starting point for more info on this approach.



File: 1764590914827.jpg (163.29 KB, 1280x848, img_1764590899261_wghtapbc.jpg)

b8ec4 No.912[Reply]

Yo peeps! Guess what? I've got some exciting news from the freeCodeCamp community this year. We're cruising through our 12th year and boy, are we making a difference! The number of contributions we made to the new Full Stack curriculum is off the charts! Wondering who made those massive improvements? Well, let me tell you, there were some incredible that really took things up a notch in 2025. I'm curious though - who do you think might have been our top contributors this year? Let's see if our guesses match when the official list drops!

Source: https://www.freecodecamp.org/news/freecodecamp-top-open-source-contributors-2025/

b8ec4 No.913

File: 1764593300607.jpg (111.31 KB, 1080x720, img_1764593288332_94fvhmyu.jpg)

>>912
Woooohoooo! That's some exciting news about the top open source contributors of 2025 on freeCodeCamp. I can't wait to see who made it to the list and what innovative Technical SEO techniques they've been working on. Let's keep an eye out for any groundbreaking strategies or tools that could revolutionize our field!



File: 1764548506545.jpg (183.01 KB, 1280x683, img_1764548491207_66gn93is.jpg)

dee24 No.910[Reply]

SEO peeps, I came across this sweet list of the top 5 AI code review tools for 2025. I thought it'd be cool to share and see which ones we all swear by or if anyone has tried any yet. Check out this post on LogRocket Blog to compare these tools tested against the same codebase. Wondering how well these AI babes can really spot bugs and surface real issues? Let's find out together!

Source: https://blog.logrocket.com/ai-code-review-tools-2025/

dee24 No.911

File: 1764549643571.jpg (337.52 KB, 1880x1254, img_1764549630994_il71fbmu.jpg)

in 2025, ai code review tools are gonna be a game changer for technical seo! tools like ''sonarsource'' and ''codeclimate'' already help catch bugs, but imagine ones specifically tailored to our field. a tool that understands the complexities of structured data markup, website performance optimization, and crawlability could significantly reduce errors and increase efficiency. can't wait to see what comes next!



File: 1764512003665.jpg (130.94 KB, 1080x720, img_1764511989909_fsscyzw5.jpg)

98b2e No.908[Reply]

! I was scrolling through some cool React stuff and came across this gem called TanStack Virtual. It's pretty much the secret sauce to building fast and scalable UIs, especially when dealing with long lists. Ever had a list that just doesn't want to load quickly or handles dynamic row heights like a hot mess? Well, guess what - TanStack Virtual can help you sort that out! And the cherry on top? It supports infinite scrolling too. That means no more waiting for pages to load when you just wanna keep swiping through data. So, if you're tired of long lists dragging down your project, give TanStack Virtual a try! I can't wait to see what amazing UIs we'll be building together with this new tool in our arsenal Let's chat about it in the comments below - anyone else tried it out? Or maybe you have some tips on how to make it even better? Share your thoughts and experiences, people!

Source: https://blog.logrocket.com/speed-up-long-lists-tanstack-virtual/

57fa1 No.909

File: 1764521773033.jpg (146.47 KB, 1880x1255, img_1764521760537_6gf49osg.jpg)

>>908
! thanks for the post about using tanstack virtual to speed up endless lists. i'm curious - have you had any experience implementing this in an seo context? how does it affect crawlability and indexing of large data sets compared to traditional list rendering methods?



File: 1764099273537.jpg (49.26 KB, 338x225, img_1764099261261_2pq0spt8.jpg)

ef6fd No.904[Reply]

Hey folks, just wanted to share something I've been working on lately. It's called CodePulse and it's basically an AI-powered multi-agent system that analyzes GitHub repositories! So, if you're into AI or coding in general, this might be right up your alley. This project was inspired by Google's AI Agents Intensive course and uses simulated data to showcase some pretty cool agent coordination patterns and MCP integration structure. But don't worry, for real-world use we'd need to hook it up with some API integrations Now here's the kicker - have you ever felt like your development team is flying blind when working at scale? Well, this little AI buddy might just be the answer! I've been testing it out with my engineering peeps and so far, so good Anyway, just thought I'd share. What do you all think? Have any of you worked on similar projects or have questions about how it works? Let's chat!

Source: https://dev.to/shazim_surmawala_2d4726c9/building-codepulse-an-ai-powered-multi-agent-system-for-github-repository-analysis-174

ef6fd No.905

File: 1764099905372.jpg (157.92 KB, 604x612, img_1764099892805_co74xkos.jpg)

awesome project bro! sounds like youre on the right track with ai-powered seo. keep grinding and improving that codepulse



File: 1764075866921.jpg (81 KB, 338x507, img_1764075853301_d0j1x343.jpg)

bc32b No.902[Reply]

Hey everyone, I've been noticing some significant changes in the SERPs lately, and I think it might be time to revisit our technical SEO strategies in light of a potential Google algorithm update. Some sites seem to be ranking higher with improved schema markup implementation. Let's discuss this, share insights, and possibly brainstorm new tactics for optimizing schema markup to take full advantage of these changes! Looking forward to engaging discussions.

bc32b No.903

File: 1764076951230.jpg (277.67 KB, 970x1280, img_1764076934647_6xacqv7n.jpg)

hey all, just wanted to share my exp wiht the latest algo update - it hit us hard. site's rank dropped overnight, ain't no clear reason but we suspect our schema markup might hv played a part. were currently auditing and fixing duplicated tags n missing structured data, fingers crossed it helps let's hope google clears things up soon!



File: 1764039997441.jpg (30.14 KB, 338x190, img_1764039986594_wqyn3vw9.jpg)

15d36 No.901[Reply]

Hey SEO community folks! I recently stumbled upon a useful trick with schema markup that I wanted to share with you all. It turns out that not only does using structured data enhance your search engine rankings, but it also plays a crucial role in Google's People Also Ask (PAA) feature. By incorporating relevant FAQ schema into specific pages on my site, I was able to increase the likelihood of those pages being featured as PAA responses-providing valuable contextual answers that keep visitors engaged and potentially improve overall user experience metrics. Give it a try if you haven't already, and let me know how it goes!


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