Im Learning to Avoid Over-Orchestration in Agent Development
Hey everyone, Leo here from agntdev.com! Today, I want to talk about something that’s been on my mind a lot […]
Uncategorized
Agent Frameworks
My Agent Framework Choice: Building Beyond PoC
Hey everyone, Leo here from agntdev.com! Today, I want to talk about something that’s been buzzing in my head for the past few weeks, ever since I got my hands dirty with the latest batch of agent frameworks. Specifically, I’m thinking about the “build” aspect – not just building an agent, but how we build
Langfuse vs Weights & Biases: Which One for Side Projects
Langfuse vs Weights & Biases: Which One for Side Projects?
Langfuse has 23,621 GitHub stars. Weights & Biases, meanwhile, has a respectable following as well, but exact numbers are elusive without a detailed lookup. But here’s the kicker: stars don’t ship features. Developers need tools that enhance productivity, and the choice between langfuse vs weights
10 Tool Integration Mistakes That Cost Real Money
10 Tool Integration Mistakes That Cost Real Money
I’ve seen 4 SaaS implementations fail this quarter alone. Shockingly, all 4 suffered from the same 10 tool integration mistakes that cost them real money.
1. Overlooking API Rate Limits
Why does this matter? It’s easy to assume that once an integration is set up, it’ll run
Cursor vs GitHub Copilot: Which One for Startups
Cursor vs GitHub Copilot: A Developer’s Detailed Look at AI Tools for Startups
GitHub Copilot currently boasts over 2 million users while Cursor is relatively new on the scene with about 16,000 users. But don’t let the numbers mislead you. It’s important to find the right tool for your needs, especially for startups where every
My March 2026 Agent Build Reflections: From Idea to Reliable AI
Alright, folks. Leo Grant here, back in the digital trenches with you. It’s Monday, March 23rd, 2026, and I’ve been wrestling with something pretty fundamental lately: the “build” part of agent development. Not just the coding, but the entire process of taking an idea, a set of constraints, and turning it into a functioning, autonomous
My Quest for Truly Adaptable AI Agents Began This Week
Alright, folks. Leo Grant here, back from a particularly deep rabbit hole. This past week, I’ve been wrestling with something that’s been bugging me for a while: how do we actually build agents that aren’t just glorified script runners, but genuinely adaptable, context-aware entities?
I mean, we’ve all seen the demos. The shiny new LLM-powered
FastAPI vs Express: Which One for Side Projects
FastAPI vs Express: Which One for Side Projects?
FastAPI has amassed 96,460 GitHub stars while Express sits at 60,678 stars. It’s clear developers have their preferences, but here’s the kicker: stars don’t ship features. FastAPI has gained traction in recent years due to its asynchronous capabilities and type hints, but does that make it better
PydanticAI vs Semantic Kernel: Which One for Small Teams
PydanticAI vs Semantic Kernel: Which One for Small Teams
Here’s the deal: PydanticAI has 15,652 GitHub stars whereas Semantic Kernel boasts 27,522. A lot of developers get entangled in star counts, but stars don’t equate to quality or ease of use, especially for small teams. If you’re in a small team and have limited resources,
My Agent Dev: Making AI Agents Do Real Things
Hey everyone, Leo here from AGNTDEV.com. Hope you’re all having a solid week. I’ve been buried deep in some agent-related rabbit holes lately, specifically around the practicalities of getting agents to actually do things in the real world, beyond just chatting or generating text.
We talk a lot about agentic frameworks, reasoning loops, and all