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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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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An insightful look at developer productivity with AI: exploring what the Copilot, METR, and DORA studies truly measured, and sharing how you can test these gains with your own team.
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Think about measuring developer productivity by considering the decisions you need to make. Choose meaningful metrics like SPACE, DevEx, and DORA, and make sure to balance speed with quality to get the best overall picture.
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