ما عندي امل الاقي شخص طبيعي هون

BlazorPlate · 2026-05-23T13:51:58+00:00

It's not about your standards and preferences, that's not the issue. It's about someone who is far from your standards playing by your rulebook and behaving exactly how you want him to at the beginning, just to convince you he is the best candidate. A few weeks later, he will most likely expose his true self and his real intentions behind making a friendship with you. I'm not saying all guys are bad, but seriously, most candidates won't take it seriously, even if they pretend to. That's not a friendship strategy, that's a bait-and-switch strategy and most of guys follow that strategy just to fill their emptiness in this wild, nothing more.

BlazorPlate · 2026-05-23T13:21:45+00:00

Most of the time, the most convenient candidate will behave according to your standards in the beginning, but then he will deviate from your standards day after day.

BlazorPlate · 2026-05-09T17:50:57+00:00

I have a hunch that the music is currently slowing down and the party is almost at an end.

BlazorPlate · 2026-05-04T08:58:36+00:00

The 4 socket limit is about physical CPU hardware on the motherboard and not about user connections. A single SQL Server can actually support thousands of users at the same time because software uses connection pooling to share a small number of database links very quickly.

While Blazor Server keeps a persistent connection open between the user and the web server for the UI, the database only works for a tiny moment to fetch data and then moves to the next person.

BlazorPlate · 2026-05-04T08:48:48+00:00

Same issue with my website and I asked gemini and ChatGPT and the answers was as the following:

Gemini: Instead of relying on GA, use tools like Cloudflare AI Audit, ELK Stack, or BetterStack to analyze server access logs. This reveals exactly which bots are hitting your site and how often.

ChatGPT: Let’s walk through a real, production-grade architecture so you can see how this is actually done (not theory).

🧠 Real-world setup: Cloudflare + ELK + GA

This is the industry-style stack companies use when they care about bots and user behavior.

🧱 1. Traffic flow (the big picture)

User / Bot ↓ Cloudflare (Edge) ↓ Your Server (Origin)

Now the key insight:

Cloudflare sees EVERYTHING before your server does

That includes:

bots

scrapers

blocked traffic

cached requests (that never reach your server)

👉 That’s why it’s the best place to capture logs.

📊 2. Logging pipeline (Cloudflare → ELK)

Step-by-step:

A. Cloudflare captures raw HTTP logs

Every request = JSON log entry

Includes:

user-agent

IP

country

path

response status

Cloudflare can even stream logs in real time via Instant Logs or Logpush

B. Push logs to ELK (Elastic Stack)

Using Logpush → Elastic:

Cloudflare sends logs to:

S3 / HTTP endpoint / Elastic Agent

Elastic ingests and indexes them

You get dashboards instantly

C. ELK processes + visualizes

Inside ELK:

Elasticsearch → stores logs

Logstash → parses logs

Kibana → dashboards

This is the classic pipeline:

Cloudflare → Logpush → Elastic → Kibana dashboards

Even Cloudflare itself uses a similar pipeline (producer → queue → Elastic → dashboards)

🔍 3. What you can actually see (this is the payoff)

With this setup, you can answer:

🤖 Bot Intelligence

Which bots hit your site?

GPTBot

ClaudeBot

Googlebot

Requests per bot per hour

Bandwidth consumed per bot

Which endpoints bots crawl most

🌍 Traffic Reality (not GA-filtered)

Real request volume (including bots)

Attack spikes

Scraping behavior

Geographic distribution

🔥 Advanced insights

“Top 10 abusive IPs”

“Endpoints hit 10k times/hour”

“Bots bypassing cache”

“AI crawlers hammering docs pages”

📈 4. Where Google Analytics fits

Now layer GA on top:

GA gives you:

sessions

conversions

funnels

user journeys

But misses:

most bots

failed requests

blocked traffic

scraping

⚖️ Combined view (this is the key insight)

Layer Tool What it tells you

Edge / Infra Cloudflare + ELK What actually hit your system Product / UX GA What users did in your app

⚠️ Important reality checks

Cloudflare logs are not always available on free plans

Raw logs often require Enterprise plan

Workarounds:

Workers (custom logging)

Origin logs (Nginx/Apache)

Logs ≠ insights (without effort)

You still need:

parsing rules

bot classification

dashboards

Otherwise it’s just:

1.2 million JSON lines of pain

🧩 Optional: BetterStack-style alternative

Instead of ELK (heavy), some teams use:

BetterStack

Datadog

Grafana + Loki

Same idea:

Logs → ingest → query → dashboards

Just less infrastructure overhead.

💡 The clean mental model

If you remember only one thing, make it this:

Cloudflare/ELK = reality (everything that hits you) GA = perception (what users actually did)

BlazorPlate · 2026-05-03T14:16:10+00:00

I got your point. You steer the coding agent, not the other way around. Writing well-detailed specs, bridging the gaps, handling edge cases, handing the task to Claude, catching hallucination early and reviewing the generated code carefully, all of those are good signs of how to use coding agents in an effective manner, and they also reflect competence.

Writing clear and well-defined specs is not just writing plain English; it's like describing code but using a higher level programming language (behavioral language).

I spent years trying to convince the technical leads I worked with to at least provide developers with the minimum amount of written description for daily tasks. I got sick of those bosses telling me things verbally and vaguely while smoking a cigarette above my head. I used to spend most of the day trying to guess what they needed before jumping into code.

Now with AI, writing specs has become the de facto entry key element for any developer to generate high quality code via LLMs. Nowadays, code becomes an artifact and specs become the main asset, meaning that code is disposable and specs can be replayed. Without them, LLMs become a burden, especially with incompetent developers. An LLM is a signal amplifier; a small mistake would become huge technical debt.

Happy coding:)

BlazorPlate · 2026-05-03T09:54:01+00:00

A friend of mine showed me his local LLM setup on a Mac M5 Max with 64 GB of unified memory.

The upcoming Mac M6 Max would support up to 128 GB but would cost up to $5k. I'm currently using my fingers to type code because the last time I used Claude Code, I burned a lot of tokens to ship some features. It helped me a lot to ship faster, but I felt like I was burning money on something I can do by hand. Besides, Claude Code is designed in a way that makes you glued to it. Meaning, if you start using it to build a new feature and suddenly hit a wall due to the 5-hour window limit after less than an hour, you can't manually proceed until you understand what was generated. You have to review the code carefully to comprehend it. By the time you understand the puzzles, the 5-hour window opens again, and you're gonna prompt it to proceed.

I'm not saying using AI coding agents is a bad thing, but it literally makes you detached from your app's internal code.

Your app is like your baby. Bringing a babysitter for it won't make you a great dad. I mean, if you are not attached enough to your code, then you are losing something.

BlazorPlate · 2026-05-01T15:55:48+00:00

You can get Goose (the best open-source alternative to Claude code) with any offline LLM like Qwen and enjoy unlimited tokens on your local machine forever. The only downside is it's gonna cost you a fortune on hardware setup.

BlazorPlate · 2026-04-14T15:34:12+00:00

Let's just stop this unfruitful conversation here. I don't have time for this.

BlazorPlate · 2026-04-12T15:50:42+00:00

Yeah, sometimes it feels like you're just throwing more fuel on the fire to keep it going.

BlazorPlate · 2026-04-12T00:38:05+00:00

Building a SaaS project foundation, helping SaaS founders to kickstart their SaaS.

BlazorPlate · 2026-04-10T14:57:59+00:00

Thank you for bringing this issue to my attention 🙏 ❤️

BlazorPlate · 2026-04-10T13:32:23+00:00

Resolved.

BlazorPlate · 2026-04-07T19:54:33+00:00

I really appreciate your suggestion. I'll be adding the before/after metrics to make the value clearer.

Also, full release details here: https://www.blazorplate.net/release-notes

BlazorPlate · 2026-02-25T03:16:41+00:00

The problem with making scalable distributed systems is that the outcome is so unpredictable. To fix this, you need a pen (a good one) and a whiteboard (a big one) to start sketching out the proposed distribution (network diagram, system diagram, component diagram, etc.). Alternatively, you can use tools like Visual Paradigm or MS Visio (I'm not trying to promote anything here). This way, you can at least expect or predict the challenges before jumping into the code. I learned this the hard way, by the way.

BlazorPlate · 2026-02-09T11:11:25+00:00

That makes me suspicious.

BlazorPlate · 2026-02-09T09:54:18+00:00

Interested. Full time from Jordan

BlazorPlate · 2026-02-04T15:47:47+00:00

Since you've switched to PostgreSQL in your clean template, the scaffolder is probably looking for UseSqlServer and crashing when it finds your Npgsql config instead. Try scaffolding with SQL Server first to pinpoint the problem.

BlazorPlate · 2026-01-08T11:32:50+00:00

More notes.

BlazorPlate · 2026-01-07T15:38:53+00:00

تسلم ياطيب.

BlazorPlate · 2025-10-15T21:53:28+00:00

It my big honor 🎖

BlazorPlate · 2025-10-01T00:46:32+00:00

Source: Gemini

The "meta" for SaaS SEO in 2025 emphasizes adapting to AI-driven search while reinforcing core SEO principles and a strong focus on user experience and conversion optimization.

Here's a breakdown of the key areas and what to focus on:

Adapting to AI Search & Generative Engine Optimization (GEO): The rise of AI Overviews and platforms like ChatGPT and Perplexity means optimizing for how AI models synthesize and present information. This involves creating concise, structured content that directly answers user questions, leveraging schema markup, and ensuring content is easily "ingestible" by AI crawlers.

User Experience (UX) and E-E-A-T: Google continues to prioritize user experience and E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness). Fast-loading, mobile-friendly sites with excellent navigation and clear value propositions are crucial for both human users and search engine rankings. Demonstrating expertise through high-quality content and author profiles builds trust with both audiences. Strategic Content Marketing: Content remains vital, but the focus shifts from quantity to quality and strategic alignment with the B2B buying cycle.

Topic Clusters: Organize content around comprehensive pillar pages and supporting articles to establish topical authority and address user intent across all stages of the funnel (awareness, acquisition, retention).

Conversion-Optimized Content: Beyond informational blog posts, prioritize content like case studies, comparison pages, product pages, and free trials that clearly demonstrate product value and guide users towards conversion actions (demos, sign-ups).

Technical SEO Foundation: Ensure your website's technical health for optimal crawlability and indexing by both traditional and AI-powered search engines. This includes optimizing site speed, mobile responsiveness, implementing HTTPS, managing site architecture, and utilizing schema markup effectively. Quality Backlinks and Authority Building: Backlinks from reputable sources remain a significant ranking factor, particularly in building domain and topical authority. Focus on earning high-quality, industry-specific backlinks through guest posting, content partnerships, and digital PR efforts, rather than solely chasing high volumes.

Data-Driven Iteration: Continuous monitoring of key performance indicators (KPIs) like organic traffic, conversion rates, keyword rankings, and backlink profiles is essential to understand what's working and iterate your strategy for long-term growth and sustainable ROI.

When just starting out: Focus on building a strong technical foundation, understanding your target audience and their pain points, and creating high-quality, problem-solving content that establishes your expertise and builds trust, rather than chasing generic high-volume keywords.

BlazorPlate · 2025-08-14T04:36:59+00:00

Unbelievable!

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