66.5K
NEWant to cut through complex JSON output like a Jedi? ⚔️
Use this Linux command.
#JQ #JSON #LinuxCommands
@networkchuck
#Jq Json Processing Tutorial
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77.6K
STStop eyeballing logs. This trio turns raw text into structured data you can navigate and script. Use jc to convert, jq to process, and fx to explore. #tech #software #programming #coding
@stevencodes.swe
93.6K
AR💀 Trabajar con json gigantes puede ser infernal
😮💨 Sobretodo cuando quieres sacar un campo que está dentro de 5 objetos anidados…
🪄 JSON Crack te facilita muchisimo esta tarea! Tienen version web pero hay límite de 5000 lineas, por ello te recomiendo que utilices la extension de visual studio code!
❤️ Si quieres aprender más sígueme!
@art0xdev
438
JOTesting Claude Cowork for the first time 🤔
Task: Take all my n8n JSON files and organize them into one folder.
Result: ✅ It worked
Next task: Pick one workflow and create a beginner PDF walkthrough on how to build it.
Result: Actually... pretty good? It analyzed my Speed to Lead system and created a full guide with table of contents, system overview, Airtable setup, everything.
But here's my question: Could regular Claude have done the same thing if I just uploaded the file?
Cowork organized my files automatically, but beyond that... I'm not sure what makes it special yet.
Still testing. Still learning.
You tell me - is Cowork worth it or is it just Claude with file access?
Drop your thoughts below 👇
#claudecowork #ai #automation #aitools #claude #productivity #n8n #testing
@jordan_ai_
0
339
DEHTTP Request & JSON Data Handling | Automate API Workflows in n8n ⚙️
Unlock the power of automation with HTTP Requests and JSON Data! 🚀
In this video, learn how to send, receive, and process JSON data using HTTP requests in n8n to build efficient and automated API workflows.
Understand how to integrate multiple platforms, extract data, and transform it into actionable insights — all with no manual coding required. 💡
Perfect for developers, automation enthusiasts, and data engineers looking to master API integrations and data handling.
Transform your workflow with AI & automation — chat with our team at +923412636264
#HTTPRequest #JSONData #APIIntegration #n8nAutomation #WorkflowAutomation #DataProcessing #AutomationTools #DeveloperCommunity #TechInnovation #CodingLife #Decotechs"
@decotechs
32
OJDay 5/30: What is JSON? 📄🔗
If APIs are the “Waiters,” then JSON is the “Order Slip” that everyone understands! It’s the universal language of the web. 🌐
In today’s video, we are diving into the language that allows different apps to communicate seamlessly, regardless of the programming language they use.
Why JSON is King:
Lightweight: Fast to send across the internet.
Readable: Easy for both humans and machines to understand.
Universal: Used by every major language like JavaScript, Python, and Java.
Mastering JSON structure is a MUST for every Full-Stack developer. 🚀
👇 Drop a “JSON” in the comments if you want a cheat sheet for JSON syntax!
🔥 Follow to catch Day 6: HTTP Status Codes tomorrow!
#fullstackdeveloper #CyberSecurity #LPU #LearnCoding #deepakdev
@ojha2001003
35.6K
PRouput parsers
#datascience #machinelearning #learningtogether #womeninstem #progresseveryday #tech #consistency #generativeai
@priyal.py
134.2K
OLStop writing prompts like you’re texting a mate.
AI image models don’t think in sentences. They think in structure.
JSON prompting gives the AI a recipe instead of vibes. You break down every visual element into exact fields—colours as HEX codes, textures, lighting, logo placements.
Why does it work? Because AI is trained on structured data. JSON mirrors how it processes information internally.
The workflow is dead simple:
Find a reference image.
Feed it to ChatGPT and ask for a JSON breakdown.
Merge that with your transformation request.
Paste into FLUX.2 on Higgsfield.
Generate.
FLUX.2 is the key. It actually follows complex instructions. It reads HEX codes cleanly. And it’s unrestricted—it’ll generate branded content other models refuse.
You get precise colours. Accurate logos. Exact poses maintained.
Think of it like this: natural language prompts are suggestions. JSON prompts are specifications.
The difference shows up in the output.
#ai #flux2 #nanobanana
@olivermerrick___
36.5K
TOHere’s how I’m using my Python Receipt Scanner to help automate my life! 🤖
Using a few of AWS’s services, I’m able to create a pipeline which receives new receipts via email, saves the attachments, runs them through the scanner and uploads the structured JSON data to my database! 🚀
What do you think? 🤔
@tom.developer
35.0K
TEComment " json " for link
json-render dev turns plain English prompts into structured JSON that your app can render as UI. You define the components and actions once and the tool generates predictable UI output that fits your catalog and binds to your data. It is built for fast prototyping and consistent interfaces.
Key features
• Natural language to structured UI JSON
• Catalog based guardrails so output is predictable
• Progressive JSON generation for faster rendering
• Data binding with JSON Pointer paths
• Named actions tied to app logic
• Conditional visibility rules
• Validation support for inputs
Pricing
Free plan with basic usage
Paid plans with higher usage limits and advanced features
Contact vendor for exact pricing tiers and costs
@techinsixty
229.2K
COCut your AI costs in HALF 🔥
Same data. 15K tokens → 8K tokens.
That’s 47% savings on every API call.
TOON = Token-Oriented Object Notation
Built specifically for LLMs to understand structured data efficiently.
Perfect for: Analytics data, user records, logs, orders
Not replacing JSON ;) but definitely complimenting it for AI workflows.
Follow @codewithharshad for more such dev and AI content.
#AI #TOON #softwareEngineering
@codewithharshad
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