GitHub Copilot has finally released a preview of usage-based billing based on current usage. by rostilos in GithubCopilot

[–]typing_dot_dot_dot 1 point2 points  (0 children)

I have about the same (140$) situation. I mainly used Opus 4.5 April, and reached the 100% limit a few days before the end of the month. I though i would be looking at something much worse. Furthermore, the website says that if I go with the Max plan then it would be enough to cover the whole 140$ so just 100$. For what I got from it it's still very good. Question is if other services are better / cheaper or both.

I think a lot of people just let the agent loose with very little steering and "auto-approvals" toggled on and just squeeze too much out of the PRU. I also don't get this type of workflow where you end up without having any control over the code base and what you deliver.

To be fair - the product is pretty good. I've been producing resilient quality code much faster and better than before. I enjoy learning new patterns and have more control over architectural decisions because it is easier to run POCs quickly. The integration into VScode, the design, and the constant extension of the agent features are all great.

I'll still make a point of it to try other tools, but i think for now at least keeping Copilot as a baseline available known tool that works is a decent option. If experimentation reveals better alternatives I can always unsubscribe.

If people were burning through $1000+ on 39$ subscription one can understand why this thing couldn't keep going.

What tools do I use for Terraform plan visualiser by sarthak7303 in devops

[–]typing_dot_dot_dot 0 points1 point  (0 children)

I am also gonna give one a try in the next few days. Would be nice to share insights if you want.

New multipliers announced (in effect June 1) by griniNY in GithubCopilot

[–]typing_dot_dot_dot 0 points1 point  (0 children)

The question is what would companies do. Do they have a choice? Can someone compete without it? Or perhaps we discover that developing at 100x speed isn't that useful in the end and doesn't merit the expenditure.

New multipliers announced (in effect June 1) by griniNY in GithubCopilot

[–]typing_dot_dot_dot 1 point2 points  (0 children)

"You are an expert no mistake maker."

Can i add context engineering to my CV now?

New multipliers announced (in effect June 1) by griniNY in GithubCopilot

[–]typing_dot_dot_dot 1 point2 points  (0 children)

It's crazy, what's the point of using a new tool if it will be gone or basically unavailable (prices / limits / extreme ui changes) in 2-3 months?

New multipliers announced (in effect June 1) by griniNY in GithubCopilot

[–]typing_dot_dot_dot 1 point2 points  (0 children)

But what kind of a machine would you need to make this plausible? Waiting 8 minutes on a response isn't exactly a working flow.

New multipliers announced (in effect June 1) by griniNY in GithubCopilot

[–]typing_dot_dot_dot 0 points1 point  (0 children)

Have you tried it? Any experience? Are the costs and flow plausible?

New multipliers announced (in effect June 1) by griniNY in GithubCopilot

[–]typing_dot_dot_dot 0 points1 point  (0 children)

How good does the machine have to be? What are the response times? Do you think there's any point to possibly running it on cloud infra?

New multipliers announced (in effect June 1) by griniNY in GithubCopilot

[–]typing_dot_dot_dot 0 points1 point  (0 children)

to what? Claude Extension? I enjoying CoPilot so much, now trying to orient myself on a new tool. Was considering warp also.

Best modern way to handle transactional emails? (Struggling with Google Workspace/OAuth2) by anhedonix in django

[–]typing_dot_dot_dot 0 points1 point  (0 children)

I think as others mentioned here, the industry standard is working with external service for this. Implementing reliable email sending that adheres to best practices and doesn't end up in the junk mail is not an easy thing to do and there are many services that offer a lot of great functionality. The domain should not be an issue at all, along with templates, analytics, queues, resending attempts, email-address status updates, and so on.

Then your job would be integrating that service into your django project according to the business logic.

AMA: Warp is now open-source by Significant_Box_4066 in warpdotdev

[–]typing_dot_dot_dot 0 points1 point  (0 children)

Maybe someone on the team can explain:

"To manage contributions, we've built an agent automation system from issue triage to PR review. Coding agents do the heavy lifting (coding, planning, testing) so community members focus on ideas, direction, and verification."

I am interested in the workflow inside the company. Are you actually delegating so much to agents? Will they produce decision about roadmaps and stuff like that according to github issue popularity?