DeepSeek V4 and GitHub workflow updates #29
Today's Letter
DeepSeek, V4 Preview and 1M Context Released

- DeepSeek announced DeepSeek-V4 Preview on April 24, 2026, with API availability and open-weight releases on the same day
- The release includes DeepSeek-V4-Pro with 1.6T total parameters and 49B active parameters, and DeepSeek-V4-Flash with 284B total and 13B active parameters
- DeepSeek says both models support a 1M-token context window by default across its official services, with Thinking and Non-Thinking modes
- The API keeps the same base URL and only requires switching the model name to `deepseek-v4-pro` or `deepseek-v4-flash`
- DeepSeek also says the models support both OpenAI Chat Completions and Anthropic API compatibility layers
- V4-Pro is positioned for stronger reasoning, coding, and agentic workloads, while V4-Flash is presented as the faster and lower-cost option
- The company attributes the long-context efficiency to token-wise compression and DeepSeek Sparse Attention, or DSA
- DeepSeek says `deepseek-chat` and `deepseek-reasoner` will be retired on July 24, 2026 at 15:59 UTC, and are currently routed to V4-Flash modes
Source: api-docs.deepseek.com
More: github.com · engadget.com · infoworld.com
GitHub, pull request code coverage preview

- GitHub put pull request code coverage metrics into public preview for GitHub Code Quality users on github.com
- Pull requests can now show an aggregate percentage of code covered, giving reviewers a direct signal on test completeness before merge
- Repositories need code coverage enabled and must upload a Cobertura report from the existing CI workflow through the upload-code-coverage action
- GitHub Apps and Actions workflows now require the new `code-quality:write` fine-grained permission to upload coverage reports
- GitHub says the feature is available for GitHub Enterprise Cloud and Team
- GitHub Enterprise Server is not yet supported
- The preview is free during the public preview period
- The change was announced in the GitHub Changelog on 2026-05-26
Source: github.blog
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