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Inside VS Code's harness-level engineering: how extended prompt caching, embedding-guided tool search, and WebSockets cut agent tokens by up to 28% and idle latency by 19%.
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A viral prompt engineering trend claims instructing AI agents to speak like cavemen cuts token usage by 65%. JetBrains ran an empirical benchmark to separate hype from reality.- Published on
Why the last mile of complex software deployment relies on a special breed of engineers who can write production code and soothe an anxious VP in the same afternoon.- Published on
Are we crippling our AI agents by forcing them to look through the glass of vector search? Why raw terminal access is the future.- Published on
One user who logs in once a day but runs 20 autonomous agents nonstop is worth more than 100 users chatting 10 casual messages each.- Published on
An X Post went viral claiming “Elon Musk thinks coding dies this year.”. Is it true?