·5 min read
Six workshop attendees become eighteen: check your supplies cost
In this fictional example, the total changes from EUR 44 to EUR 92. Try a ChatGPT calculator prompt and check the answer against a formula and a static table.
Read morePractical tips and insights about AI in software development.
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·7 min read
Your slides are ready. Can you answer these three objections?
Rehearse a six-week documentation pilot: replace “AI will improve productivity” with a decision, a quality check and a stop rule. Copy the worksheet for your next proposal.
Read more·7 min read
The Latest AI Models in Mid-2026: The Frontier Converged, and Price Now Decides
In spring we compared models and the deck reshuffled every month. Mid-year the picture is calmer — the frontier has largely converged, and price and fit now decide more than raw capability.
Read more·7 min read
Spec-Driven Development with AI: Plan First, Then Let the Agent Build
Vibe coding is great for prototypes. But for production work, something else wins: write a clear spec, let the agent implement against it, and verify at the right checkpoints.
Read more·8 min read
Local LLMs on your own hardware: a practical 2026 guide
Open-weight models have matured enough that they often just work for everyday dev tasks. No token bill, no code leaving for a vendor. Here's when self-hosting makes sense — and when it doesn't.
Read more·7 min read
MCP for dev teams: wiring AI agents into your tools
Chatting with AI is nice but limited. The real value shows up when the agent can reach into your systems — Jira, the database, logs, internal docs. That's exactly what MCP is for.
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