Declutter
819 posts

Declutter
@declutterKE
mostly AI, Gleam and Cloudflare. AI guy @moneyacademyKE



What kind of sauce are they feeding these TikTok editors 😭🔥

Command Code v0.34.0 is here! 3 new versions today, we're shipping fast!! lots of quality of live improvements. - feat: add Claude Fable 5 - fix: resolve [Text#N] paste placeholder into text for slash commands on submit - feat: major rehaul of lists and windowing /models /skills /mcp /agents - fix(tools): recover tool calls whose args are wrapped in a one-element array - feat: command aliases + consistent picker design across the TUI - fix: /context counts only enabled skills - fix: prevent flicker and OOM when scrolling long lists in /skills and /models - fix: a crashing MCP server no longer takes down the CLI - fix: stop running shell commands on Esc instead of waiting for them to finish (#428) - fix: /model and /configure-models pickers scroll within a viewport (selection bar, no OOM) - fix: /model selector scrolls within a viewport instead of jumping to the bottom - fix: /skills no longer flickers while scrolling or reprints a duplicate header on exit - fix: Per-task model overrides now fall back to ZDR-safe defaults on background tasks - fix: /context skill count and print mode now honor skills disabled via /skills - fix: write taste-relative paths so taste.md preferences actually save (Windows + macOS)

OpenAI reports: Codex active users grew 5x in the first half of 2026. this is from OpenAI's paper released today, based on the data from Codex. main takeaways: > non-dev Codex usage is exploding. Since Aug 2025, it’s up ~189x in orgs and ~137x for individuals > inside OpenAI, Codex is now 99.8% of their output tokens and ChatGPT only 0.2% > individual users are still mostly in ChatGPT: Codex is only 16.5% of their output tokens > organizations are using Codex like no one else. Codex went from almost nothing in Aug 2025 to 63.3% of output tokens now > long horizon tasks are taking over. 1h+ human-task prompts went from 35.4% of users in Dec to 70.2% in May > 8h+ human-task prompts went from 2.1% in Dec to 25.6% in May >skills are being adopted fast. usage went from 5.4% in Mar to 26.6% in Jun > OpenAI’s 99th-percentile users are running ~71 hours of agent work per day, they’re managing multiple agents in parallel









vercel CEO was "almost shocked" by GLM-5.2, it's impressive and made me think if it's another deepseek moment we're preparing to change our router model into GLM 5.2


GLM 5.2 is now the second most used model in Command Code Go (10x credits).





glm-5.2 is the best-performing coding model a new test compared 5 coding agents across nearly 1,000 real coding scenarios... glm-5.2 ranked #1 overall with a score of 91.9. it finished ahead of sonnet 4.6, kimi k2.7-code, and qwen 3.7 plus... while also costing slightly less per task than sonnet. the only model that came truly close was minimax m3 at 91.4. and minimax was around 30% cheaper than sonnet. open-source coding models are not just catching up anymore... in this test, they took the top 2 spots!!!





