Claude vs ChatGPT vs Gemini: which AI should you code with in 2026?
Honest benchmark on 40 real tasks: refactor, debug, API generation, framework migration. Unvarnished verdict between the three generative AI giants.
Concrete field feedback on fullstack development, artificial intelligence, PHP, JavaScript, React Native and integrating AI tools in production. No buzzwords, just tested code.
Honest benchmark on 40 real tasks: refactor, debug, API generation, framework migration. Unvarnished verdict between the three generative AI giants.
Released by Anthropic in late 2024, MCP is the protocol that turns LLMs into true agents connected to your stack. Here is why everyone is switching.
Auth, streaming, prompt caching, tool use, error handling — everything to cleanly wire Claude into a production PHP project.
Beyond the buzz, here are the 8 prompting patterns that double AI answer quality on real code. With before/after examples.
My full AI stack, tested and budgeted. What earns every euro spent and what is useless despite the hype.
How to give an LLM access to your data without fine-tuning. The architecture behind 80% of serious chatbots in 2026, decoded.
Many teams spend thousands on fine-tuning where a good prompt would do. Here is the decision grid that avoids the mistake.
Two years after AutoGPT hype, here is what AI agents can really do in production — and what still fails systematically.
Three tools, three philosophies. I spent 3 months using them in parallel on real projects. Nuanced verdict with concrete use cases.
Prompt injection, data leakage, jailbreaks, runaway cost. The pragmatic guide to AI-specific risks and their countermeasures.
LLMs will never fully stop hallucinating. But 80% of hallucinations come from 4 avoidable mistakes. Here they are.
No more "please return valid JSON" with fragile parsing. Here is how to get 99.9% valid JSON in production.
Going from 1 tool to 10 is not linear. Here are the patterns that prevent your agent from getting lost on the 5th call.
Postgres + pgvector + OpenAI embeddings = productive semantic search in 200 lines of PHP. The tutorial I wish I had read.
From zero to production: architecture, prompts, human escalation, quality metrics. Feedback after 3 chatbots shipped for real clients.
Andrej Karpathy popularized the term in early 2025. A year later, it is a real trend. Honest take on what it brings and what it breaks.
Beyond the "AGI is near" marketing, here are the concrete technical changes that impacted my OpenAI integrations in 2026.
"AI makes me 10x faster" — really? Here is the pragmatic method I use to honestly measure the impact, without kidding myself.
When, why, how. An honest guide to self-hosting an LLM: cases where it pays off, and cases where it wastes time.
Tokens, infra, debug, monitoring, false positives. Here is the full bill of a SaaS AI app for a client, including always-forgotten line items.
Google penalizes low-quality AI content and rewards good content. Here is how to use AI to boost SEO without getting blacklisted.
Reconciliation, reminders, VAT tracking, filings — how I automated 90% of my admin with a small homemade AI agent.
Inbox zero maintained effortlessly thanks to a small agent that reads, sorts, summarizes and replies to trivial emails.
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