A collection of articles published in 2026, capturing key ideas, experiments, and lessons from that period.
CS enrollment is falling as AI writes the code. Why a computer science degree is still worth four years, if you train to judge software rather than type it.
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Coding has never been the hard part. AI made writing code cheap, so why haven't delivery dates moved? What actually slows software shipping, with evidence.
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Harnesses tend to agree on features but differ in behavior. That's why having fluency in a single open-source AI coding harness can be more valuable than constantly chasing the latest and greatest. It's also important to consider the costs associated with locking into one option.
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Context, harness, loop, and graph engineering are fresh labels for traditional system design elements like control loops, state machines, and test harnesses. Take a moment to explore the changes and see what's new.
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Here are five really important skills that junior developers should focus on now that AI can write code: verifying answers, clarifying vague requests, developing clear mental models, quickly adapting to new projects, and confidently assessing their work.
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When AI generates clean code in seconds, coding tests often don't reflect true skills. That's why we've redesigned junior technical interviews to better assess verification, judgment, and depth, giving a more accurate picture of a candidate's abilities.
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