Why vibe coding won’t kill software engineering
Vibe-coding platforms are dishing out code faster than ever before. But software engineering is more than just prompting LLMs. The post Why vibe coding won’t kill software engineering first appeared on TechTalks .
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How to Hyper-Personalization in Action: From Story Angle to Ranked Media List in Minutes
Title: Beyond the Blast: Using AI to Hyper-Personalize Media Lists Intro: You’ve spent hours crafting a perfect story angle. Now, you face the tedious, error-prone task of matching it to the right journalists. Generic lists lead to ignored pitches. AI automation turns this from a chore into a strategic advantage. Core Principle: Contextual Matching Over Keyword Spraying The key is to move beyond simple keyword matching (“climate tech”) to contextual alignment. AI can analyze a journalist’s entire body of work—their recent focus, narrative style, and even subtle tone preferences—to judge true fit for your specific angle. This ensures your pitch lands in an inbox already primed for your story’s theme. Tool in Action: An AI-Augmented Media Database Imagine a platform like Meltwater’s AI tools
How to Scrape DoorDash, Uber Eats, and Grubhub Menu Data in 2026
How to Scrape DoorDash, Uber Eats, and Grubhub Menu Data in 2026 Food delivery platforms are among the harder scraping targets — they use aggressive anti-bot measures, require location parameters, and structure their data differently across platforms. Here's what actually works for extracting menu data, restaurant listings, and pricing. DoorDash: Menu Data Extraction DoorDash embeds menu data in the page's server-side rendered HTML as a JSON blob. This is the cleanest approach — no API authentication needed: import requests , re , json from curl_cffi import requests as cf_requests def scrape_doordash_menu ( store_url : str ) -> dict : """ Extract menu data from a DoorDash restaurant page. URL format: https://www.doordash.com/store/restaurant-name-city-12345/ """ session = cf_requests . Ses
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