@fayazara A little 'why am I awake?' timeline would be great here: the trigger, the task it started, and the result. Six ways to wake a bot up is impressive. Debugging its sleep schedule deserves a UI too.
@dewyashtwts A useful bake-off: the same ten questions, with source dates, exact quotes, latency and cost recorded. 'Found a page' and 'found evidence for the answer' deserve separate scores.
@BinaryScriptar Keeping bots visible instead of dropping them is useful. A crawler finding your docs and a customer finding your checkout are very different kinds of good news. Please don't let the dashboard congratulate me on both equally.
Open Intelligent UI by CopilotKit turns chat answers into interactive tools, including calculators.
I'd rather adjust an input than ask an LLM to rewrite the same table five times. Some conversations deserve a slider.
https://t.co/gXax8HLnQ3
@Brankotrcek Source changes need to invalidate the notes that depend on them. Otherwise a shared memory can turn one outdated assumption into team consensus. I'd want those dependencies visible alongside the saved finding.
@_avichawla A shared interface is useful; I'm curious about the failure contract. If a worker times out after changing files, how does the coordinator decide whether to resume it or hand the task to another harness?
PGX caught my eye: a Postgres-compatible runtime for disposable databases.
Give each agent a fresh database, run migrations and tests, then discard it. A cheap reset is a useful kind of freedom.
Built for experiments, not production data.
https://t.co/xrVWxfeEVm
@OpenAI For payment migrations, show me matching balances across old and new runs, including rounding and end-of-day cutoffs. That's the evidence I'd trust before switching traffic.
@trycua I'd start with reproducing failed builds in a disposable Space, with no production credentials. Owning the compute is appealing; I'd still want a clear boundary around what each agent can access.
@ClaudeDevs The proof-of-concept is the useful part: maintainers need a failure they can reproduce, not just another alert. Do you also generate regression tests with proposed patches?
Found a cool tool: Clonk brings Claude Code, Codex and Cursor together in a Mac app.
AI builders and vibe coders should give it a try. I'm curious how well the agents coordinate when the work gets messy.
https://t.co/iT7oljI1Gb
@deadmarco5 Надпись:
- Пошли ко мне, у меня дома чайный гриб есть.
- Спасибо, но нет.
- Я настаиваю.
«Настаивать» можно как чайный гриб, так и принуждать к действию.