Apr 13 · 10 min read · In the journey of creating a new programming language, there's a moment when the focus shifts from parsing syntax and generating code to breathing life into the runtime. For any modern language aspiring to relevance, this inevitably means tackling co...
Join discussionMar 29 · 7 min read · Your AI email agent handles the first two replies flawlessly. It reads the original message, drafts a thoughtful response, and sends it on time. Then reply three arrives and something quietly goes wrong. The agent responds to the wrong topic. It asks...
Join discussionMar 29 · 7 min read · Your AI email agent handles the first two replies flawlessly. It reads the original message, drafts a thoughtful response, and sends it on time. Then reply three arrives and something quietly goes wrong. The agent responds to the wrong topic. It asks...
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Join discussionDec 30, 2025 · 4 min read · This guide explains what Channels are, when to use them, how to use them correctly, and when NOT to use them — in simple, professional language. 1. What problem do Channels solve? In Kotlin coroutines, you often have multiple coroutines running at t...
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Dec 27, 2025 · 2 min read · When NOT using Gevent (worker_pool\=[prefork|gthread]), the number of concurrent workers defaults to the number of cores which are effectively the tasks that will be executing in “parallel”. The prefetch multiplier (default 4) is an optimization to r...
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Dec 26, 2025 · 18 min read · Python’s concurrency tools let you optimize programs by running tasks in overlapping periods—great for cutting down wait times in I/O-heavy work and taking advantage of multiple CPU cores for compute-intensive tasks. In this article, I’m focusing on ...
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