| What changed in the latest stable install docs? | As of June 3, 2026, the current official CodeWhale baseline is v0.8.50. It keeps `codewhale` as the canonical command/package, while the legacy `deepseek` / `deepseek-tui` binaries remain temporary deprecation shims scheduled to disappear in v0.9.0. | This is the setup delta most likely to break copy-pasted install instructions today. |
| What changed in Docker and manual-download safety guidance? | The current README and install docs treat `~/.codewhale` as the primary persistent home, and manual downloads should use CodeWhale asset names plus the published SHA-256 manifests. If you find older snippets that still mount `.deepseek`, treat them as compatibility-era examples rather than the primary path. | This prevents users from flattening two official-looking sources into one wrong Docker instruction. |
| What changed in config-home and credential setup? | The current README moves the primary user config file to `~/.codewhale/config.toml` and keeps `~/.deepseek/config.toml` only as a legacy fallback. It also documents `codewhale auth status` for checking whether the active key came from saved config, keyring, or DEEPSEEK_API_KEY, and `codewhale auth clear --provider deepseek` for rotation or cleanup. | This gives readers a reproducible way to debug 'wrong key', 'wrong account', or 'wrong config directory' problems. |
| What changed in TUI pricing and cost-tracking behavior? | The current README says DeepSeek's previous promotional discount was folded into a one-quarter base-rate adjustment on May 31, 2026, and that the TUI cost estimator already uses the current V4 Pro and V4 Flash rates. | This is the TUI-side pricing fact worth publishing because it affects cost estimates without changing the install flow. |
| What is the current default DeepSeek endpoint behavior? | The current README says the default DeepSeek Platform base URL is `https://api.deepseek.com/beta` so beta-gated API features work without extra setup. If you want the non-beta route, set `base_url = "https://api.deepseek.com"` explicitly. | This explains why two developers can see different provider behavior if one assumes the stable endpoint while the other uses the documented default. |
| Is DeepSeek TUI being renamed upstream? | Yes, and the rename is now official rather than speculative. The maintained project surfaces use CodeWhale as the product and command name, while the legacy `deepseek` binaries remain temporary deprecation shims that upstream still plans to remove in v0.9.0. | This is the clearest explanation for why two official-looking pages can show different command names. |
| Is DeepSeek TUI an official DeepSeek Inc. product? | No. DeepSeek TUI is an independent open-source project by developer Hunter Bown, licensed under MIT. It is not affiliated with DeepSeek Inc. It uses the public DeepSeek API just like any other third-party client. | This prevents confusion between the community tool and official DeepSeek products. |
| Does DeepSeek TUI run models locally? | No. It is an API client — it sends prompts to the DeepSeek cloud API over HTTPS. You need an internet connection and a DeepSeek API key. For local model execution, see the local deployment guide. | This is the most common misconception about terminal AI tools. |
| What does 'Pro does the big job, Flash does the small jobs' actually mean? | DeepSeek TUI's RLM feature uses deepseek-v4-pro as a coordinator (expensive, used briefly for strategy) and deepseek-v4-flash as parallel workers (cheap, used for bulk analysis). Pro decides what to do; Flash workers execute subtasks in parallel. This gives Pro-level reasoning at near-Flash pricing. | This is the core architecture insight that makes the tool cost-effective. |
| Can it replace Claude Code for my team? | It can replace parts of a Claude Code workflow for large-context, parallel-analysis, and cost-sensitive projects. For narrower tasks requiring the deepest reasoning on a single hard problem, Claude Code's model quality edge still matters. Many teams use both. | Honest capability comparison prevents over-selling and builds trust with technical readers. |