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Author name: Alex Chen

Alex Chen is a senior software engineer with 8 years of experience building AI-powered applications. He has worked at startups and enterprise companies, shipping production systems using LangChain, OpenAI API, and various vector databases. He writes about practical AI development, tool comparisons, and lessons learned the hard way.

AI Security

Firebase vs Neon: Which One for Side Projects

Firebase vs Neon: Choosing the Right Tool for Your Next Side Project
Firebase has 162,310 GitHub stars. Neon has 17,506. But stars won’t build your app for you. It’s all about what each platform can really do in practical terms. When looking at Firebase vs Neon, it’s paramount to assess which tool aligns with your

AI Security

Ollama vs vLLM vs TGI: Inference Showdown

Ollama vs vLLM vs TGI: The Inference Showdown
Ollama boasts 165,940 stars on GitHub while vLLM has 74,064, clearly indicating a significant interest in the former. But let’s get real — the number of stars doesn’t translate directly into usability or features. In this post, I’m going to unpack the intricacies of Ollama, vLLM, and

AI Security

OpenAI API vs Mistral API: Which One for Startups

OpenAI API vs Mistral API: Which One for Startups

OpenAI’s API has processed over 100 billion requests since its launch. Mistral, while newer and less tested in production environments, is gaining hype fast. But hype doesn’t pay bills or build apps. Today, I’m going to tell you why when it comes to openai api vs

security

Im Battling Bots on My Retro Computing Forum

Alright, folks, Pat Reeves here, dropping into your feeds from botsec.net. It’s March 23rd, 2026, and I’ve been wrestling with a particular kind of bot-related headache lately. Not the sophisticated, nation-state sponsored kind – though those are always fun to dissect – but the everyday, slightly-too-clever automated nuisance that’s been targeting one of my side

security

My Bots Face New LLM Threats: Heres What I Do

Hey everyone, Pat Reeves here, dropping in from botsec.net. Hope you’re all having a solid week and your bots are behaving themselves. Mine? Well, they’re always up to something, which usually means more work for me figuring out what new mischief they’ve stumbled into, or more often, what mischief someone else is trying to pull

AI Security

PydanticAI vs Haystack: Which One for Small Teams

PydanticAI vs Haystack: Which One for Small Teams

PydanticAI has 15,652 GitHub stars, while Haystack boasts 24,582. But let’s be honest, stars don’t build projects; they just look pretty on your profile page. If you’re part of a small team trying to figure out which framework to adopt for artificial intelligence projects, these numbers might

AI Security

LangGraph Pricing in 2026: The Costs Nobody Mentions

After 6 months with LangGraph in production, I’m saying: it’s okay for small projects, but the costs aren’t always upfront.

Let’s get real: I’ve spent the better part of the last six months working with LangGraph for a few projects aimed at conversational AI and automating some backend tasks. We were expecting some straightforward solutions

security

My Bot Security Challenge: Secrets Management for Bots

Hey everyone, Pat Reeves here, back on botsec.net. It’s March 21st, 2026, and I’ve been wrestling with a particular problem that I think a lot of you out there in the bot defense trenches are also grappling with. We’ve talked a lot about protecting our bots from external threats – malicious inputs, DDoS attacks, IP

AI Security

Claude Code vs Continue: Which One for Startups

Claude Code vs Continue: Which One for Startups

According to various surveys, over 60% of startups fail due to mismanaged resources and improper tool selection. When it comes to coding assistants, the debate between Claude Code and Continue is heating up. With tools boasting advanced features to transform the development process, it’s crucial to assess

AI Security

How to Set Up Monitoring with Weights & Biases (Step by Step)

How to Set Up Monitoring with Weights & Biases (Step by Step)

If you’re managing machine learning experiments and still logging everything to spreadsheets or scattered text files, you’re seriously missing out—weights & biases set up monitoring will save you dozens of painful hours and sleepless nights wrestling with disorganized experiment data.

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