Erudite Dgt

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Erudite Dgt

Erudite Dgt

@DgtErudite

Web Dev || Educator || Web3 Enthusiast || Visual Creator (Design + Video) || Turning Research into Lessons for Growth

Katılım Eylül 2021
1.9K Takip Edilen2K Takipçiler
Erudite Dgt
Erudite Dgt@DgtErudite·
Did you get the tx? 🟢 I just applied for the @txRWAs Elite Club.
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Akintola Steve
Akintola Steve@Akintola_steve·
Backend Engineers throw Redis into every architecture nowadays like it’s a compulsory tech stack. Meanwhile, some applications genuinely do not need Redis at all. So, when exactly should Redis actually be used? Real practical scenarios where Redis makes sense?
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Mohammed Makulas
Mohammed Makulas@makulas1913·
تايب سكربت تتخلى رسمياً عن جافاسكربت. الإصدار القادم (7.0) تمت إعادة كتابته بالكامل بلغة Go، وسرعة الـ Compile تضاعفت 10 مرات. لسنوات، كان الـ Compiler الأساسي (tsc) مكتوب بـ TS نفسها ويشتغل على بيئة Node.js. هذا كان قرار استراتيجي ممتاز في البداية عشان يقنعون المطورين يتبنون اللغة، بس هندسياً؟ كان كابوس للمشاريع الضخمة. الـ JavaScript بطبيعتها Single-threaded، ومقيدة جداً في عمليات الـ CPU المكثفة. في المشاريع الضخمة، لما الـ Codebase يتجاوز مليون سطر، الـ Build time يصير كارثة. المطور يغير سطر كود في واجهة معينة ويروح يسوي قهوة لين الـ Type checking يخلص. الانتقال للغة Go (Native port) نسف هذي المشكلة تماماً. اللعبة هنا في الـ Multi-threading. مترجم اللغة صار يستغل كل الـ CPU Cores في جهازك دفعة واحدة (عبر الـ Goroutines). كودك الكبير يتقطع ويتم تحليله بالتوازي. الـ Overhead حق محرك V8 اختفى من المعادلة. التأثير مو بس في راحة المطور. في بيئة الـ Enterprise، هذا يعني أن الـ CI/CD Pipelines في السيرفرات بتخلص أسرع بكثير. فاتورة الكلاود لعمليات الـ Build رح تنزل بشكل ملحوظ للشركات.
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Mari
Mari@Tech_girlll·
📂 SaaS Stack ┃ ┣ 📂 Frontend ┃ ┣ 📂 React ┃ ┣ 📂 NextJS ┃ ┣ 📂 Vue ┃ ┣ 📂 TailwindCSS ┃ ┗ 📂 Shadcn UI ┃ ┣ 📂 Backend ┃ ┣ 📂 NodeJS ┃ ┣ 📂 Django ┃ ┣ 📂 Laravel ┃ ┣ 📂 FastAPI ┃ ┗ 📂 Express ┃ ┣ 📂 Database ┃ ┣ 📂 PostgreSQL ┃ ┣ 📂 MySQL ┃ ┣ 📂 MongoDB ┃ ┣ 📂 Redis ┃ ┗ 📂 Supabase ┃ ┣ 📂 Auth ┃ ┣ 📂 Clerk ┃ ┣ 📂 Auth0 ┃ ┣ 📂 Firebase Auth ┃ ┣ 📂 Supabase Auth ┃ ┗ 📂 NextAuth ┃ ┣ 📂 Payments ┃ ┣ 📂 Stripe ┃ ┣ 📂 Paddle ┃ ┣ 📂 Dodo Payments ┃ ┣ 📂 Lemon Squeezy ┃ ┗ 📂 Polar ┃ ┣ 📂 Emails ┃ ┣ 📂 Resend ┃ ┣ 📂 SendGrid ┃ ┣ 📂 Mailgun ┃ ┣ 📂 Postmark ┃ ┗ 📂 Amazon SES ┃ ┣ 📂 Storage ┃ ┣ 📂 AWS ┃ ┣ 📂 Cloudflare ┃ ┣ 📂 Google Cloud Storage ┃ ┣ 📂 Supabase Storage ┃ ┗ 📂 Uploadcare ┃ ┣ 📂 Deployment ┃ ┣ 📂 Vercel ┃ ┣ 📂 Netlify ┃ ┣ 📂 Railway ┃ ┣ 📂 Render ┃ ┗ 📂 AWS ┃ ┣ 📂 Domains and DNS ┃ ┣ 📂 Namecheap ┃ ┣ 📂 Hostinger ┃ ┣ 📂 Cloudflare DNS ┃ ┣ 📂 Google Domains ┃ ┗ 📂 SiteGround ┃ ┣ 📂 Analytics ┃ ┣ 📂 Google Analytics ┃ ┣ 📂 Plausible ┃ ┣ 📂 PostHog ┃ ┣ 📂 Mixpanel ┃ ┗ 📂 DataFast ┃ ┣ 📂 Monitoring ┃ ┣ 📂 Sentry ┃ ┣ 📂 LogRocket ┃ ┣ 📂 Datadog ┃ ┣ 📂 NewRelic ┃ ┗ 📂 UptimeRobot ┃ ┣ 📂 DevOps ┃ ┣ 📂 Docker ┃ ┣ 📂 Kubernetes ┃ ┣ 📂 GitHub Actions ┃ ┣ 📂 CI CD ┃ ┗ 📂 Terraform ┃ ┣ 📂 Search ┃ ┣ 📂 Algolia ┃ ┣ 📂 Meilisearch ┃ ┣ 📂 Elasticsearch ┃ ┣ 📂 Typesense ┃ ┗ 📂 OpenSearch ┃ ┣ 📂 AI Integration ┃ ┣ 📂 OpenAI API ┃ ┣ 📂 Anthropic API ┃ ┣ 📂 Replicate ┃ ┣ 📂 HuggingFace ┃ ┗ 📂 Gemini API ┃ ┣ 📂 Integrations ┃ ┣ 📂 Zapier ┃ ┣ 📂 Make ┃ ┣ 📂 n8n ┃ ┣ 📂 Pabbly ┃ ┗ 📂 Webhooks ┃ ┣ 📂 Security ┃ ┣ 📂 SSL ┃ ┣ 📂 Cloudflare ┃ ┣ 📂 WAF ┃ ┣ 📂 Rate Limiting ┃ ┗ 📂 Secrets Management ┃ ┣ 📂 Marketing ┃ ┣ 📂 Search Console ┃ ┣ 📂 Outrank ┃ ┣ 📂 Buffer ┃ ┣ 📂 Analytics ┃ ┗ 📂 Kit ┃ ┗ 📂 Customer Support ┣ 📂 Intercom ┣ 📂 Crisp ┣ 📂 Zendesk ┣ 📂 Tawk ┗ 📂 HelpScout
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Erudite Dgt
Erudite Dgt@DgtErudite·
@mttcer note that this is only applicable when working with the coding agent in IDE's, as i do not know otherwise
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Erudite Dgt
Erudite Dgt@DgtErudite·
@mttcer i guess that's where "git" comes in. Initializing git at the very start of your project helps you keep track of changes that are made. that being said, you can always undo any change when working with a coding agent by simply using git or the "timeline" feature if you use vs code
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Nam Tran
Nam Tran@davidtranwd·
Instead of paying $20 a month for resend, now I can pay $5 for a worker and $0.35 for every 1000 email.
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Farza 🇵🇰🇺🇸
Farza 🇵🇰🇺🇸@FarzaTV·
Here's the new Clicky. It's the simplest interface in the world to talk to AI + spawn agents. It builds Mac apps. It does research to help you find IG micro-influencers. It interacts with native Apple Notes, Calendar, Reminders. Built for consumers, 0 setup. Try today, free.
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Samay
Samay@Samaytwt·
Be honest As a developer, which database is better in the AI era?
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Karthik
Karthik@karthikponna19·
bro won coding hackathon with zero coding experience using Claude
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ilodi wow
ilodi wow@ilodiwow·
Excited to announce I am gonna be a mom
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Cryptonian
Cryptonian@cryptonian350·
If you can see this, everything is gonna be alright.😊 @Yukicatofficial Y'all have a wonderful Weekend. gYuki Fam.
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ZARA
ZARA@HeyZaraKhan·
Become a Claude Certified Architect Here is the complete resource list in one place: Link to join: anthropic.skilljar.com/claude-certifi… Training courses: anthropic.skilljar.com (13 free courses) Cookbook: github.com/anthropics/ant… Exam Guide: share.google/0eqIbebzRMUt8K… Practice questions: claudecertifications.com (free) MCP documentation: modelcontextprotocol.io (free) API documentation: docs.anthropic.com (free) Partner Network: anthropic.com/partners (free to join) Personal Playbook someone created after the exam: drive.google.com/file/d/1luC0rn…
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ZARA@HeyZaraKhan

🚨BREAKING: Anthropic just open-sourced a powerful new framework for building AI agents and made it publicly available in a GitHub directory. It’s called “Skills” and it redefines how we work with Claude. Instead of repeating prompts, developers can now create reusable “skills” that package instructions, workflows, and logic into a single unit. A Skill = a structured capability an AI can reliably execute. For example: • Analyze datasets and generate reports • Create structured documents • Automate multi-step workflows • Execute internal business processes Each skill is: • Modular, reusable across projects • Versioned, continuously improvable • Dynamically loaded, used only when needed This solves key problems in today’s AI systems: → Repetitive prompting → Inconsistent outputs → Limited scalability The bigger shift: From: “Prompt engineering” To: “Programmable, reusable AI systems” This is a foundational step toward more reliable, production-ready AI agents. If you're building with AI, this is worth your attention.

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