Why autonomous coding agents burn hundreds of thousands of tokens on terminal noise, how we shrunk prompt overhead using evolutionary harness compaction, and how we built a confidence guard for the edge model that wrote this post.
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Why autonomous coding agents burn hundreds of thousands of tokens on terminal noise, how we shrunk prompt overhead using evolutionary harness compaction, and how we built a confidence guard for the edge model that wrote this post.
Lee Boonstra just released a beautiful 68-page Prompt Engineering whitepaper that I will summarize here. You’ve surely heard the buzz about LLMs and Agentic AI over the last couple of years. Think of them as that brilliant, slightly chaotic intern you once had. Super smart, tons…
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If you are in a Big Data project, you may have experienced how slow is Hive to JOIN a couple of tables of few TBs (well, even GBs being honest). The first option always appears to be using PARQUET as your default storage engine and…
So, you are just landing in a big data project. Everybody knows how to use HDFS except you. All the data is in such a big cluster and you don’t know how to access to it. You are not really into graphic interfaces, so you…
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