The Hidden Cost of “Agentic Development” in Enterprise Teams
There’s a shift happening across engineering teams right now. Developers are spending less time searching, planning, and wiring things together,...
There’s a shift happening across engineering teams right now. Developers are spending less time searching, planning, and wiring things together,...
Understanding the limits of retrieval in real software systems Over the past two years, retrieval augmented generation has become one...
The past two years of AI development have been defined by a race toward larger models and larger context windows....
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There’s a shift happening across engineering teams right now. Developers are spending less time searching, planning, and wiring things together,...
Understanding the limits of retrieval in real software systems Over the past two years, retrieval augmented generation has become one...
The past two years of AI development have been defined by a race toward larger models and larger context windows....
For the last two years, the AI conversation has been dominated by one thing, new model releases. Every few months, there’s another announcement, a bigger model, a faster model, a more capable agent, a new benchmark, a new demo. And to be clear, the progress is real. The models are extraordinary. But inside enterprise production environments, something different is happening. The real bottleneck isn’t model capability. It’s that the...
Technical debt rarely shows up all at once. It accumulates quietly. A quick workaround to hit a deadline. A duplicated...
For years, AI in software development has meant one thing: autocomplete. You start typing a function. The assistant predicts the...