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{ "uri": "at://did:plc:3danwc67lo7obz2fmdg6jxcr/app.bsky.feed.like/3lomhm4crnl2y", "cid": "bafyreigemrijdajto645baxieecbrup6lqgz5vyhq3eo4lhorvxkpqrl64", "value": { "$type": "app.bsky.feed.like", "subject": { "cid": "bafyreibmn3recairly46uaunsuyjqobbjk225sbko6fjmivrkwai3ji6oy", "uri": "at://did:plc:zqybk75ugxkb6cnvasrm7kdq/app.bsky.feed.post/3lomfbmftmc2p" }, "createdAt": "2025-05-07T22:38:25.081Z" } }
I’ve found this to be a useful general technique any time I’m implementing code that that involves tricky optimizations. Often a good testing strategy is: does my fancy optimized implementation match the obviously correct, too-slow-for-production-but-fine-for-tests implementation.
May 7, 2025, 9:56 PM