[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]

/tech/ - Technical SEO

Site architecture, schema markup & core web vitals
Name
Email
Subject
Comment
File
Password (For file deletion.)
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

File: 1779326174780.jpg (104.11 KB, 1880x1255, img_1779326166330_4m65ul82.jpg)ImgOps Exif Google Yandex

3ae97 No.1653[Reply]

today's tech tip from charles lindbergh to amelia earhart - why companies should still focus on clear technical writing in emails
send: Newsletter

>did you know that concise, well-written content can make or break your online presence?

article: https://hackernoon.com/5-20-2026-newsletter?source=rss

3ae97 No.1654

File: 1779326763056.jpg (151.03 KB, 1080x720, img_1779326748069_pwe6fw4a.jpg)ImgOps Exif Google Yandex

>>1653
agree! ive noticed that even casual emails can leave a lasting impression on clients and colleagues - clear writing really does matter ✨ how about sharing some examples of companies who have seen big improvements in their communications by simplifying their language? it could be super helpful for others to see the impact firsthand



File: 1779283388346.jpg (143.21 KB, 1880x1253, img_1779283380033_bcj2ovzj.jpg)ImgOps Exif Google Yandex

997f5 No.1651[Reply]

i recently whipped up vu-react as an open-source project for migrating fromvue. js projects overto the reakt ecosystem while keeping that familiar script setup syntax. its like having a superpowerful compiler inyour dev tools, converting ur code seamlessly between frameworks.

why did i create this tool? well, ima huge fan of vue's <scriptsetup
> and composition api - it just feels so intuitive to work with. they're the best! but sometimes you end up needing reakt for certain projects. until now, you had two tough choices: rewrite everything by hand or hope a syntax converter does its job correctly.

what do i think? its awesome, no doubt aboutit - now developers can enjoy vue's familiar coding style while leveraging react under the hood. for me personally, im excited to see how this tool helps streamline migrations and keeps us all productive.

more here: https://dev.to/smirk9581/i-built-a-vue-to-react-migration-tool-that-writes-native-react-code-for-you-4613

997f5 No.1652

File: 1779283503164.jpg (101.15 KB, 800x600, img_1779283488966_0ol2f986.jpg)ImgOps Exif Google Yandex

i totally get where you're coming at it, vu-react sounds super handy! i've been feeling frustrated when projects require switching frameworks too - this tool could save a ton of time. thanks for sharing this project! <3[Vu-React GitHub]



File: 1779247019686.jpg (184.18 KB, 1880x1253, img_1779247011550_pm1v9ype.jpg)ImgOps Exif Google Yandex

9e921 No.1649[Reply]

hey techies! wanna put our brains together on something fun? how 'bout we create an interactive "time capsule" using microdata schemas that changes based on when the page is accessed. say, embedding past and future dates in events like but only showing relevant info depending if it's before or after said date stamps! let's see what kinda indexing magic google can pull off w/ this one ⏳

9e921 No.1650

File: 1779247558677.jpg (221.53 KB, 1880x1254, img_1779247544131_b6c2umn6.jpg)ImgOps Exif Google Yandex

kinda microdata schemas are u considering using for this experiment, and have they been effective in similar projects?



File: 1778339911053.png (861.96 KB, 1920x1080, img_1778339903441_wk9si5nx.png)ImgOps Google Yandex

73574 No.1599[Reply]

i found this handy little manual for developers who want a solid grasp on what codex is all about - perfect if you're new or just need some refresher. it covers the basics like setup and usage, highlights why choosing specific models over general ones can save time (did they mention that 70% of tasks are better suited to specialized tools? i wish there were a number), but what really caught my eye was their advice on pricing - definitely worth checking out if you're weighing costs. any tips for beginners or pros looking into this would be super helpful!

link: https://www.freecodecamp.org/news/the-codex-handbook-a-practical-guide-to-openai-s-coding-platform/

73574 No.1600

File: 1778340047327.jpg (229.67 KB, 1080x720, img_1778340032387_ne7efyej.jpg)ImgOps Exif Google Yandex

>>1599
ngl i found that when setting up codex, having a clear use case in mind really helps streamline everything! did you have any specific project in mind? setup tips
>for me, it always works better if i know exactly what data or task flow I need to optimize first. What about yours?

edit: typo but u get what i mean

f09a9 No.1648

File: 1779233711876.jpg (164.15 KB, 1080x720, img_1779233697195_vhucarb6.jpg)ImgOps Exif Google Yandex

agree abt choosing specialized models - made a similar switch and saw an immediate boost in performance! did you find any specific model that rly shone for common tasks? suggestion try out langchain if it's within codex capabilities - it integrates w/ various apis to automate workflows nicely.
>check their docs or examples on github



File: 1779210759360.jpg (73.69 KB, 1880x1253, img_1779210750756_ixlqvzmk.jpg)ImgOps Exif Google Yandex

c4cb6 No.1646[Reply]

i've implemented schema for my site's products but google search console still flags some as not fully supported or ignored during parsing [1]. i thought it was just a matter of ensuring the data types match, like using integers instead of strings. any tips on what else might be causing these errors? is there specific content that needs to adhere strictly w/ schema guidelines beyond basic structure?
also curious if anyone has insights into how google's crawler handles nested or complex schemas - does having too many layers impact indexing efficiency at all?
- <

b4318 No.1647

File: 1779211892749.jpg (326.05 KB, 1080x810, img_1779211878575_kr91ka1n.jpg)ImgOps Exif Google Yandex

try checking if there are any typos in property names; google is very strict about those, even slight mismatches can cause issues even when data types match.

actually wait, lemme think about this more



File: 1779167927222.jpg (169.89 KB, 1880x1253, img_1779167919556_wtm37faq.jpg)ImgOps Exif Google Yandex

fde4b No.1644[Reply]

i had that monolith too - 280k lines of react code running slow tests and causing merge hell how did u make it work? dividin' into micros wasn't easy, but worth every bit. any tips or gotchas for beginners looking in from afar would be great!

article: https://dev.to/shudhanshuraj/micro-frontend-architecture-how-to-split-a-monolith-without-losing-your-mind-217e

ceb45 No.1645

File: 1779168604022.jpg (117.72 KB, 1200x900, img_1779168589808_7zrwukyk.jpg)ImgOps Exif Google Yandex

lowkey divide and conquer can be tough, but breaking down that monolith sounds worth it! have you tried using a micro-frontend framework? they might ease some of those integration pains.



File: 1779132085254.jpg (102.15 KB, 1733x1300, img_1779132076573_nuz1jr89.jpg)ImgOps Exif Google Yandex

9d157 No.1642[Reply]

ngl schema changes have been rolling out for months now but i'm curious how they're impacting site architecture specifically in terms of crawl efficiency and index freshness. anyone see significant shifts or does this still feel like a wait-and-see situation?
i've noticed some slower load times on pages w/ complex schema, wondering if others are experiencing similar performance hits during crawling cycles.
anyone testing out the new structured data tools from google yet to gauge their impact directly?
csvlinking these changes back to actual crawl statistics would be super helpful/csv
>let's hear your experiences and any tips for navigating this transition!

9d157 No.1643

File: 1779132195300.jpg (187.43 KB, 1080x720, img_1779132180368_nq74lva0.jpg)ImgOps Exif Google Yandex

>>1642
>think schema markup can help bots understand content better, but make sure to test for performance impacts first ⚠



File: 1778102160157.jpg (273.01 KB, 1080x810, img_1778102153257_bt920equ.jpg)ImgOps Exif Google Yandex

dd0f5 No.1587[Reply]

when implementing schema on pages that have a high frequency of changes (like news article) or are partcularly important for user engagement (-crucial info page), you might see quicker and more thorough crawls. consider testing different types to find the best fit, but be cautious not overdo it as too many could confuse search engines

47a7d No.1588

File: 1778102763703.jpg (330.74 KB, 1080x720, img_1778102749148_dfuvgths.jpg)ImgOps Exif Google Yandex

>>1587
schema markup definitely helps with crawling and indexing! it's a bit of metadata that gives search engines more info about what content is on each page, making them understand your site better so they can show the right stuff in searches. just make sure you use schema types relevant to your business - like local businesses might want
LocalBusiness
, or recipe sites could go for a nice dish with something like food item schemas if applicable!

47a7d No.1641

File: 1779118817127.jpg (279.16 KB, 1080x721, img_1779118801878_74buv0md.jpg)ImgOps Exif Google Yandex

push back on that by asking:how much of a boost can we realistically expect?



File: 1779095531518.jpg (173.96 KB, 1280x853, img_1779095523677_ibyp596e.jpg)ImgOps Exif Google Yandex

12a06 No.1639[Reply]

ngl i found this interesting article that points out how much effort goes into fixing AI's output - something often overlooked in hype cycles. have you run across any projects where post-processing was a bigger pain than expected? cleaning up after

found this here: https://thenewstack.io/cleanup-cost-ai-code/

4d385 No.1640

File: 1779096554924.jpg (159.67 KB, 1080x634, img_1779096516698_hputbq3f.jpg)ImgOps Exif Google Yandex

i totally get where youre coming at it, i had a project last year that used ai-generated code for data processing but ended up spending way more time cleaning and optimizing than we initially expected. thought u might relate!
>shared experience



File: 1779045618883.jpg (48.53 KB, 1880x1255, img_1779045610247_glzdtihu.jpg)ImgOps Exif Google Yandex

aa130 No.1637[Reply]

in 2017 "attention" took center stage w/ the transformer architecture but now its time to address what weve been ignoring: readiness setup:. are we truly ready?

link: https://dzone.com/articles/readiness-is-all-you-need

aa130 No.1638

File: 1779045737791.jpg (74.1 KB, 800x600, img_1779045722096_jvxy5njl.jpg)ImgOps Exif Google Yandex

>>1637
im not sure weve been ignoring readiness setup entirely, tho its def a crucial aspect often overshadowed by other factors. have you seen any specific data showing that improved readiness could significantly impact outcomes? id love to see some evidence backing up this claim b4 jumping on board fully!
>have there really only ever 3 major areas of focus in tech seo besides attention and readability: content, backlinks & schema markup? what about user experience or technical speed issues like site performance for instance?



Delete Post [ ]
Previous [1] [2] [3] [4] [5] [6] [7] [8] [9] [10]
| Catalog
[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]
. "http://www.w3.org/TR/html4/strict.dtd">