568 - Chatting with an agent works great for me alone. Drop that same chat into a real team project and it falls apart, because the context and skills live in one head. Here's the missing back end.

568 - Chatting with an agent works great for me alone. Drop that same chat into a real team project and it falls apart, because the context and skills live in one head. Here's the missing back end.
Without tests, you’re just guessing.
Registries don’t keep your codebase safe. Testing does.
Patrick Debois on testing agent skills, context & error budgets for reliable AI deployments.
🔗 Watch now: buff.ly/kIAuTeo
The AI world spent years chasing bigger.
Now a different question is emerging: What if the advantage comes from better context?
Our latest Tech Bulletin explores SLMs, context engineering, and system-centric AI.
👇 Read it: zurl.co/JOC9b
What is #ContextEngineering, really?
Birgitta Böckeler breaks down the core components - instructions, conventions, tools, and MCP servers - along with the non-deterministic challenge every developer faces when relying on LLMs to load them.
🎥 Watch now: buff.ly/eVmX85i
Most developers build #RAG for semantic similarity. But similar ≠ relevant!
Your coding agent can retrieve documents that match the prompt word-for-word - without actually getting the context it needs to solve the problem.
🔗 See how #ContextEngineering bridges the gap: ⇨ buff.ly/dbdIicm