ClickIT.solutions (@devops.services)

Prompt Enginieering vs Tuning vs LoRA: Know When to Switch

AI Voice Agent Can Lose You Money If You Do This Wrong

Ever hit your Codex usage limit right in the middle of a task? I built a small macOS menu bar tool that tracks my Codex usage limit in real time. Now, I always know how much of my 5-hour window is left before starting. Want to build your own? Comment “Codex” for the full prompt. Subscribe for more…

Codex vs Claude Code: Choose your Coding Agent #codex #claudecode #ai #tech

Which of these agent memory types are you building into your agents? #AgentMemory #AIAgents

Is AI coding replacing the basics like Python? 🙄 No. If anything, you need them even more. Last week, the AI wrote a queue setup that looked perfect, but broke in an hour. I still had to know Python well enough to debug it. The AI doesn’t know when it’s wrong. That’s up to us.

Harness engineering takes your AI agent’s success rate from 20% to almost 100% Let’s build one in Claude Code 😏

Hermes vs OpenClaw OpenClaw ships fast and plugs into everything. Hermes gets smarter every run and hasn’t had a security scare. Yet. Which one are you running? 👇🏼

Replit Pro Tips 👀 One mistake teams make with AI coding tools? Treating them like magic. A few Replit habits that make AI-assisted development way more manageable: ☑️ Plan mode before building ☑️ Lite Mode for smaller fixes ☑️ Verifier Agent + external repo backups REMINDER: The faster AI gets…

World cup streaming pushed live infrastructure to its limit. Drop your worst lag story below👇🏻

The problem with your FinOps and AI? Architecture By the time it shows up in your invoice, the margin damage is already done. Model routing, token budgets, costs per feature before it ships. These decisions don’t live in the finance process. They live in the codebase. ✅ #FinOps #AI

Turn Claude Skills into your engineering assistant 🤖 Claude Code Skills let you reuse workflows instead of re-explaining the same process over and over. Once a workflow becomes too repetitive, it’s time to turn it into a skill. Build it once. Invoke it when needed 🤝🏻

Is your database setup secretly eating your profit margins? 💸 Most engineering teams scale their platforms either by overpaying for separate servers or by risking massive data leaks in a shared database. It feels like you have to choose between going bankrupt and breaking compliance. But the…

Have you outgrown Vercel? Security is a big theme when talking about Vercel, and that’s fair. Add it to the infrastructure and it might look like migration time. 3 signs you’re there: ☑️ Compute costs are eating your margin. ☑️ Limited control over CDN caching and delivery. ☑️ Compliance needs a…

Vibe coding will fail you when you least expect it. 📉 Stop treating AI like a magic box and start treating it like a contractor. If your architecture lives in your chat history instead of your repo, you’re just building technical debt at the speed of light. Make the shift: ➡️ Write the Spec first…

Are you still choosing your AWS orchestrator based on “management overhead”? Even though the #ECS vs #EKS debate has been around for years, the arguments for making the choice in 2026 have changed. ➡️ ECS: The king of straightforward efficiency. Perfect for stable, high-traffic APIs and AWS-native…

If you’re building artificial intelligence applications, using Flask might create a bottleneck. This video explains the critical difference: Flask’s synchronous nature causes delays when AI models, which take seconds to respond, block user requests. We discuss how this impacts web development and…

The “free ride” of AI tokens is about to end. Big tech is covering the bill for now, but what happens when they stop? If you aren’t building with real costs in mind, you’re building a dependency you won’t be able to afford. Are you ready for the bill or are you building for the future? Let’s talk…

Benchmarks say one thing, but production says another. For 80% of React and SQL code, GPT-5.4 and Claude Sonnet 4.6 are very much alike. But for the other 20%, the difference is massive. Which one is winning the battle in your IDE this week? Let us know in the comments. #AIArchitecture #GPT5…

Most people think AI memory is just a “grep” search through your files. It’s not. If you treat it that way, you’re wasting tokens and your agent will keep having “amnesia.” The Key Difference: 📚 Context Caching = Your library. It’s static, pre-loaded, and cheap. 📓 Dynamic Memory = The agent’s…

From ViVE to @HumanX: The Future is Human-Centered. 🌐 At ClickIT, we believe the real competitive advantage of AI is still human-led. We’re taking everything we’re implementing about AI scalability and bringing it to our next stop: #HumanX2026. 🔹 The Mission: Shifting the focus back to technology…

Is your OpenClaw agent losing the thread? Here’s how to make it self-improve. Most AI agents fail because of Context Bloat. Their system files get filled with redundant data, making them “dumber” over time. In this podcast snippet, we break down the 3 layers of #AIinfrastructure you need to scale…

RAG vs. Fine-Tuning: Making the Right Choice Many teams rush into fine-tuning, assuming it will solve all their AI needs. Only to realize later that they are trying to fix a knowledge problem with a behavioral solution. We break down the fundamental difference: ➡️ Behavior Problems: Better suited…

AI scaling hitting a wall? Prototypes are great, but enterprise-grade AI needs more than just a model; it needs a foundation. Here is how we leveled up this AI vision: ✅ Automated: Swapped manual workflows for PyTorch. ✅ Reliable: Used LangGraph to kill “hallucinations.” ✅ Stable: Hardened the…

OpenAI just backed OpenClaw. But with great power comes massive security risks. 🚨 Before you deploy, you need to hear about the security risks and how to avoid them We break down the 3 non-negotiable security pillars: Sandboxing, Permission Limits, and Human-in-the-loop. Any other you would add?…

LLM deployment costs don’t explode because the model is expensive. They explode because of architecture decisions. In production, cost depends on: 🔁 how often you call the model 🔁 how much context you send 🔁 whether you cache, route, or retrieve smarter In this video, we break down why demos are…

The #GeminiGems vs #CustomGPTs talk continues in 2026 👀 But this time the focus is “where should AI live in your work?” rather than just figuring out which one is better. ⚙️ Custom GPTs shine when you need custom behavior for a workflow, product, or team. ⚙️ Gemini Gems are designed to be…

What’s the deal with #ChatGPTHealth? 🤖🏥 OpenAI announced it recently. A dedicated space for health conversations where you can connect medical records and wellness apps. But will it be a useful innovation, a risky one, or is it just someone else telling you to eat more greens? 🥦 Our team discusses…

LangChain just became a serious agent framework. 💡 From a simple Python library to powering production-grade AI agents with memory, tools, and graph-based orchestration, this update changes how teams build AI systems. Are you sticking with LangChain or exploring other agent frameworks? Comment…

Choosing the right AI model is only half the game, the stack around it is what makes everything work. ⚙️ In this short breakdown, I share the core tools developers are stacking for 2026, like small models like #Mistral or #Phi for fast, low-cost tasks or reasoning frameworks like #LangGraph and…