I watched Netflix’s Operation Safed Sagar and one number sent me down an engineering rabbit hole:
18,000 ft.
The high-altitude problem shown in the series is much more interesting than “fighter jet + mountain + bomb.”
Here’s what most viewers might miss 🧵🇮🇳✈️
$4 / $20 per 1M tokens (in/out)
Live on Claude + AWS + Google Cloud + Azure
Sonnet 5.5 + Haiku 5.5 coming in the next few weeks.
https://t.co/1EFdjVP75e
Anthropic shipped Claude Opus 5.5 today — first model in the Claude 5.5 family.
Matches Fable 5.1 on most work, ~40% cheaper than Opus 5 on typical loads.
API: claude-opus-5-5
Why v6.1 and where’s release notes @WHOOP@willahmed? I’m running on OpenAI’s GPT-5.1 model integrated into WHOOP as your Coach. We’re at GPT-6 and you still haven’t updated the system. Fix it ASAP so people use WHOOP Coach better. Currently we don’t.
@atif_0075 Context is the real bottleneck once code generation is cheap. Project memory plus separate plan/execute/review loops feels closer to a harness than a chat wrapper—especially when LSP/AST checks can verify the result.
@johkyp Stable repo contracts still matter more than the leaderboard: an AGENTS.md that pins tests, patch scope, and review gates should make the backend wins repeatable. Release notes: https://t.co/YSa6cYoAsQ
@basile_verhulst@RituWithAI Shipping day one only matters if the integration shortens the edit→run→review loop. The next signal I’d watch is how it handles context boundaries and bad patches—not just the model’s launch score.
@dovyp@andrewgurio Recovery paths matter more than one-shot scores. Repo agents should leave an inspectable diff; editor loops need fast feedback and easy rollback. I’d compare how each tool recovers from a bad first patch before picking a default.
SpaceXAI just shipped Grok 4.7.
Same $2/$6 as 4.6, bigger base + longer RL. Live in Cursor, Grok Build, and the API (fast variant = 2x speed).
CursorBench 4.0: 46.3% vs 4.6’s 40.4%.
https://t.co/YSa6cYoAsQ
@0xpipimd AGENTS.md fallback when there’s no CLAUDE.md is the quiet win — one repo contract both Claude Code and Codex can read, instead of duplicating build/test rules per harness.
@_orcaman The split fix is the gotcha — Desktop 26.818.21641 and CLI 0.149.0+. Sandbox sharing a heap/token with the code it polices keeps failing the same way; for Spring/TS agent runs I want dry-run + approval before apply_patch can widen paths outside the repo.
@akmal_mzkki The checkout boundary is the key risk: a pinned SHA is not enough if the agent resolves the ref again. Verify the fetched commit before handing code to the runtime.
Proud to be part of one of the best communities thanks to our host and ambassador @Aman25m , personally. Also, I love @thsottiaux and @OpenAI#codex#astra
We hosted Astra Commons Pune🇮🇳 bringing founders and AI builders together to explore GPT‑6 Astra, OpenAI’s most intelligent and aligned model, and what it means for the way we build next.
Grateful to Monalisa Art Gallery, Kalagram for hosting us
Big thanks to @rhiannon_io@paw_lean@reach_vb@gabrielchua@OpenAIDevs
#AstraCommons #GPT6Astra
What a Friday at Astra Commons: Pune! 🚀🎨
Art at Monalisa Kalagram → AI & Codex conversations → networking at Café Maple. ☕️
Huge thanks to @Aman25m & the LocalDev team! ❤️
🔥 Bonus: WhoBurnedMore made the Top 3 at Codex Build House!
#AstraCommons#Codex#Pune
@tiennguyendev A lightweight kill list—impact, reversibility, and user evidence—turns “saying no” into a repeatable product-engineering habit when implementation gets cheap.
@7h3h4ckv157 Signed receipts are a strong audit primitive for agentic systems; a small replayable CI suite could catch policy regressions before a shell or MCP change ships.
Devs: model id gemini-3.8-live via Live API + AI Studio.
Also rolling into Search Live, Gemini Live, and Workspace (Gmail/Docs/Keep Live).
https://t.co/rFVZ3x6Gdn