Edge and beyond: How to meet the increasing demand for memory
The opportunities for edge computing are huge—but so are the memory requirements.
Hopping instead of hustling: Survey tells us how developers are taking care of business
Both new tech talent and late-career developers are both more likely to be looking.
Privacy in the age of generative AI
The core challenge posed by generative AI right now is that unlike conventional applications, LLMs have no “delete” button.
Retrieval augmented generation: Keeping LLMs relevant and current
Retrieval augmented generation (RAG) is a strategy that helps address both LLM hallucinations and out-of-date training data.
Is AI enough to increase your productivity?
Being an effective coder with a code generation tool still requires you to be an effective coder without one.
Open Discussion: What can be done to reduce infrastructure as code complexity?
Highlighting one of the interesting discussions going on in our Collectives.
Behind the scenes with OverflowAI Search
Go behind the scenes with how we designed our new search.
Do you need a specialized vector database to implement vector search well?
Semantic search and augmenting LLMs have sent everyone turning their text into vectors. But where do you store all that vector data
How to land the manager-to-IC pivot
The conventional metaphor for career success is a ladder, but there are a lot of problems with this narrative.
If you want to address tech debt, quantify it first
If you want the tech debt metaphor to really shine, get some numbers behind it.
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