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3d ago · 6 min read · AI coding agents are getting better at completing tasks. They are also getting better at appearing to complete tasks. An agent that claims "done" when it has created placeholder files, written empty t
Join discussionJun 6 · 8 min read · Training ML models has an environmental cost that most practitioners do not measure. A model trained during peak grid hours, when coal and gas plants are meeting high demand - can emit significantly m
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Jun 6 · 8 min read · Most AI engineering teams now run a stack of agent configs across many repos - model choices, tool allowlists, prompt templates, eval thresholds, safety rules. These configs drift the moment two engin
Join discussionJun 4 · 6 min read · AI API costs can spiral faster than anyone expects. A runaway loop, a misconfigured batch job, or a forgotten test that fires thousands of requests - by the time you see the bill, the damage is done.
Join discussionJun 2 · 7 min read · Architecture degrades gradually. A circular dependency here, a god class there, a controller reaching directly into the database layer. Each violation is small on its own. Over time they compound into
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