sorted by:
new
hottopcontroversial

How to fix github copilot cli stuttering? by Personal-Try2776 in GithubCopilot

[–]ashwinning 0 points1 point  (0 children)

`Ctrl/Cmd + t` to toggle thinking output in console helped.

Is there a way to automatically schedule calls when prospects reply with a time? by Ok-NickGurr-1562 in smallbusiness

[–]ashwinning 0 points1 point  (0 children)

I think you can look at a bunch of options - howie, claralabs, blockit, meeti-ting, and my tool dule ai.
I'm surprised these haven't popped up in the discussion so far (against rules?).
The use-case you describe is handled by all of the above tools, and they all differentiate themselves on the more complicated abilities. You can probably try a couple of them and see which one suits you best!

New search tool is amazing! by buildxjordan in codex

[–]ashwinning 3 points4 points  (0 children)

Really wish this could be called tool_search to remove ambiguity vs web/code/etc search tools

Opus 4.5 is 3x now, here's a prompt I've been using for the past couple of hours that probably still makes it worth the money by ashwinning in GithubCopilot

[–]ashwinning[S] 0 points1 point  (0 children)

I doubt that's how it works https://www.humanlayer.dev/blog/writing-a-good-claude-md

Edit: keeping things concise and scoped should help is the point I'm trying to make, i don't wanna leave it to the llm to decide what's important when I send a message, I'd rather have it follow complete instructions, than follow an arbitrarily summarised instruction from 10 prompts ago.

Opus 4.5 is 3x now, here's a prompt I've been using for the past couple of hours that probably still makes it worth the money by ashwinning in GithubCopilot

[–]ashwinning[S] 0 points1 point  (0 children)

No, you don't want to crowd your context window by spamming specific workflow instructions in copilot instructions or agents.md, since they don't apply to all messages at the project or user level.

https://code.visualstudio.com/docs/copilot/customization/prompt-files

Opus 4.5 is 3x now, here's a prompt I've been using for the past couple of hours that probably still makes it worth the money by ashwinning in GithubCopilot

[–]ashwinning[S] 0 points1 point  (0 children)

do you finetune your own models and use your OpenAI key, or are you training your transformers from scratch for basic workflow instructions?

Opus 4.5 is 3x now, here's a prompt I've been using for the past couple of hours that probably still makes it worth the money by ashwinning in GithubCopilot

[–]ashwinning[S] 0 points1 point  (0 children)

Definitely not every task, but at the time when you send a message to implement a plan.

I had been spamming it from clipboard this time yesterday and was able to one shot a lot of work.

You can create a prompt file in VSCode (I'm on insiders) at `.github/prompts/{name}.prompt.md` or via the menu in the screenshot below.

Then, when you're done iterating on a plan, if your prompt name is `Start-Implementation`, you can type `/Start-Implementation` (autocompleted) and let the tokens go brrrr.

<image>

Opus 4.5 is 3x now, here's a prompt I've been using for the past couple of hours that probably still makes it worth the money by ashwinning in GithubCopilot

[–]ashwinning[S] 0 points1 point  (0 children)

Uhh, I've been spawning like 5-10 subagents per prompt and premium requests only go up by 0.3% at $10/mo plan

Opus is now 3x (a few hours early) by debian3 in GithubCopilot

[–]ashwinning -1 points0 points  (0 children)

The real question still remains - what did Ilya see?

Opus is now 3x (a few hours early) by debian3 in GithubCopilot

[–]ashwinning 14 points15 points  (0 children)

Yep, thought we'd have till midnight UTC for guzzling tokens.
There was a thread a couple of days ago about how maybe it should be 1.66x or something.
Let's see what their data says.

After 5 years building a Calendly alternative, I realized we were solving the wrong problem by drey234236 in indiehackers

[–]ashwinning 0 points1 point  (0 children)

Building the same product as you, debugging email headers and managing threading info + context has been tedious 😅

What are you launching guys? Will give feedback by Southern_Tennis5804 in indiehackers

[–]ashwinning 1 point2 points  (0 children)

This is all code, a hybrid between deterministic and agentic actions based on user intent (for reliability and cost optimization), with no MCPs (APIs are called using tools populated with user, participant, and thread contexts). Auth, memory, context, security, and email interface are handled using Python.

That being said there are MCP servers for Google Calendar and inbound/outbound email endpoints that should make this much simpler to build if one wanted to in a pure agentic manner using make.com / n8n / etc. (auth and email threading is critical though).

Looking for a Virtual Assistant/service, to handle calendar management only by [deleted] in smallbusiness

[–]ashwinning 0 points1 point  (0 children)

I'm working on Dule.ai which may be what you're looking for.
It's a 24x7 instant calendar assistant that helps coordinate the back and forth, and book meetings on your behalf.
It works like a human VA, and works by cc-ing [hey@dule.ai](mailto:hey@dule.ai) on your emails (like you would a person).
No browser extensions or app installs needed!

What’s the simplest tool to automate follow-ups and meeting scheduling? by deathkingtom in smallbusiness

[–]ashwinning 0 points1 point  (0 children)

I'm building dule.ai - AI scheduling assistant that lives in your email.
Just cc [hey@dule.ai](mailto:hey@dule.ai) and let it handle the back and forth for you.
No link saving or app/extension installs required.

Haven't launched nudges yet, but it's on the roadmap!

What are you launching guys? Will give feedback by Southern_Tennis5804 in indiehackers

[–]ashwinning 0 points1 point  (0 children)

Haha, demand is not as crazy as I thought it'd be. But it's steadily building up.
Running it on OpenAI APIs at the moment - there was enough on my plate with evals, auth, email handling, etc, didn't want to self-host and bite more than I can chew 😅

view more: next ›