Salesforce's CodeGen released open code models up to 16.1 billion parameters and explored multi-turn program synthesis, framing coding as a conversation that could decompose a larger intent into successive prompts.
DeepSeek-Coder trained open code models from 1.3B to 33B parameters on a two-trillion-token project-level corpus, combining code-heavy pretraining, long context and infilling during the rapid open-model race of 2023–2024.
LiveCodeBench introduced continuously refreshed programming-contest problems with known publication dates, giving code-model evaluation a way to test on tasks likely to be newer than a model's training cutoff.