u/Tiny-Entertainer-346

I used to enjoy systematically going through file changes done to all files by vscode github copilot. Accept and reject individual changes. Quickly jump between them. However recent UI changes to vscode copilot have completely screwed it up. To be specific:

1. It does not show per file number of lines changed
2. It does not show per change Keep / Undo button
3. It opens all files expanded and vertically stacked. So, if I have to check specific file which is at the bottom of the stack, I have to collapse all files at the top one by one.
4. There is no way to open just single file that is changed. It opens all edited files in vertically stacked manner.
5. Old diff view also used to show location of code changes done by copilot in the file by showing red / green overlays on right side vertical scrollbar. Sometimes, it was useful when you wanted to diff some past versions of file. Those visual cues are gone due this vertically stacked sessions changes window.

Earlier I posted why I love copilot and not claude CLI with these points about old UI here: https://www.reddit.com/r/ClaudeCode/s/S4HXiHwjDn . But, it seems MS decided to claudify itself ...

New UI

https://preview.redd.it/2g3wka5a0gth1.png?width=1183&format=png&auto=webp&s=0cdb75ea71ce6734ed0e3651d0dc66e52295dab0

https://preview.redd.it/zzszbncb0gth1.png?width=1076&format=png&auto=webp&s=6799c2e45e32239b7f94ed9ed6444b5b752abe63

Old Version Information

New Version Information

I have setup Qwen3.6-27B-UD-Q5_K_XL.gguf MTP variant on on my RTX 4090 (on Ryzen 9950X and AORUS x870e PRO) using llama-server. This is what llama-benchy said:

model	test	t/s	peak t/s	ttfr (ms)	est_ppt (ms)	e2e_ttft (ms)
qwen36-27b-mtp	pp2048	2029.67 ± 41.68		880.81 ± 25.42	879.97 ± 25.42	880.81 ± 25.42
qwen36-27b-mtp	tg128	72.77 ± 3.09	73.33 ± 3.30

I was able to use it quite well on my vscode github copilot. Recently I tried seqeunce of prompts which swelled context size to 80000. Initially, I could see llama-server printing ~70 t/s:

0.38.182.778 I slot print_timing: id  0 | task 0 | n_decoded =    100, tg =  79.96 t/s
0.41.185.033 I slot print_timing: id  0 | task 0 | n_decoded =    316, tg =  74.30 t/s
0.44.193.479 I slot print_timing: id  0 | task 0 | n_decoded =    526, tg =  72.44 t/s
0.47.207.665 I slot print_timing: id  0 | task 0 | n_decoded =    742, tg =  72.21 t/s
0.50.240.440 I slot print_timing: id  0 | task 0 | n_decoded =    951, tg =  71.46 t/s

But soon it started hitting ~25 t/s (it takes at least 5+ minutes for this prompt, by that time copilot already times out):

23.28.785.142 I srv  params_from_: Chat format: peg-native
23.28.852.233 I slot get_availabl: id  0 | task -1 | selected slot by LCP similarity, sim_best = 0.981 (> 0.100 thold), f_keep = 0.994
23.28.853.242 I reasoning-budget: activated, budget=8192 tokens
23.28.853.436 I slot launch_slot_: id  0 | task 7722 | processing task, is_child = 0
23.28.853.483 I slot update_slots: id  0 | task 7722 | Checking checkpoint with [79485, 79485] against 79347...
23.28.853.484 I slot update_slots: id  0 | task 7722 | Checking checkpoint with [71401, 71401] against 79347...
23.28.892.801 W slot update_slots: id  0 | task 7722 | restored context checkpoint (pos_min = 71401, pos_max = 71401, n_tokens = 71402, n_past = 71402, size = 429.902 MiB)
23.28.892.809 W slot update_slots: id  0 | task 7722 | erased invalidated context checkpoint (pos_min = 79485, pos_max = 79485, n_tokens = 79486, n_swa = 0, pos_next = 71402, size = 461.634 MiB)
23.33.949.879 I slot print_timing: id  0 | task 7722 | prompt processing, n_tokens =   2048, progress = 0.91, t =   5.10 s / 401.85 tokens per second
23.40.411.326 I slot print_timing: id  0 | task 7722 | prompt processing, n_tokens =   4096, progress = 0.93, t =  11.56 s / 354.39 tokens per second
23.47.021.517 I slot print_timing: id  0 | task 7722 | prompt processing, n_tokens =   6144, progress = 0.96, t =  18.17 s / 338.18 tokens per second
23.53.777.511 I slot print_timing: id  0 | task 7722 | prompt processing, n_tokens =   8192, progress = 0.98, t =  24.92 s / 328.68 tokens per second
23.55.395.914 I slot print_timing: id  0 | task 7722 | prompt processing, n_tokens =   8375, progress = 0.99, t =  26.54 s / 315.53 tokens per second
23.55.922.674 I slot create_check: id  0 | task 7722 | created context checkpoint 5 of 32 (pos_min = 79776, pos_max = 79776, n_tokens = 79777, size = 462.777 MiB)
23.57.783.699 I slot print_timing: id  0 | task 7722 | prompt processing, n_tokens =   8988, progress = 0.99, t =  28.93 s / 310.68 tokens per second
23.58.098.912 I slot create_check: id  0 | task 7722 | created context checkpoint 6 of 32 (pos_min = 80389, pos_max = 80389, n_tokens = 80390, size = 465.183 MiB)
23.58.417.060 I slot print_timing: id  0 | task 7722 | prompt processing, n_tokens =   9500, progress = 1.00, t =  29.56 s / 321.34 tokens per second
23.59.861.065 I slot create_check: id  0 | task 7722 | created context checkpoint 7 of 32 (pos_min = 80901, pos_max = 80901, n_tokens = 80902, size = 467.193 MiB)
24.02.096.203 I reasoning-budget: deactivated (natural end)
24.04.057.398 I slot print_timing: id  0 | task 7722 | n_decoded =    102, tg =  24.59 t/s
24.07.100.417 I slot print_timing: id  0 | task 7722 | n_decoded =    186, tg =  25.87 t/s
24.10.153.474 I slot print_timing: id  0 | task 7722 | n_decoded =    270, tg =  26.36 t/s
24.13.202.976 I slot print_timing: id  0 | task 7722 | n_decoded =    342, tg =  25.73 t/s
24.16.253.388 I slot print_timing: id  0 | task 7722 | n_decoded =    418, tg =  25.58 t/s
24.19.303.586 I slot print_timing: id  0 | task 7722 | n_decoded =    489, tg =  25.21 t/s
24.22.365.694 I slot print_timing: id  0 | task 7722 | n_decoded =    569, tg =  25.34 t/s

I had quick discussion with Google gemini about software / hardware solutions to improve inference speed for such long context window prompts without degrading quality.

It said even dgx spark like unified memory devices will fail to give higher inference speed for such long context prompts. Q1. Is it so?

It said only one thing may work: Adding another RTX4090 and using tensor parallelism with llama-server? Q2. Will it work? (given my motherboard will support second GPU at PCIEx4 gen 4)

I can imagine few other solutions like using better agent like Pi since it will consume less context. Also reducing context size -ctx parameter value for llama server. Currently I set it to 180000 just to match default vscode copilot context size. This wont hit quality as long as I stay within context limits. Q3. Will this result significant speed improvement?

Q4. Has anyone able to hit same speed as cloud hosted LLMS (e.g. Sonnet) for long context prompts with local hosting? If yes, what is your setup?

Q5. What is minimal cost hardware upgrade I can do to reach satisfactory speed for such long context prompt?

If you are not willing to answer all questions, it's fine. But please try to answer question 4. I want to know how people are doing local setups for sufficient speed at long context prompt.

Call me a bit old school vibe coder:

• It makes me uncomfortable to give high level prompts. So I discuss with copilot to sufficient code, architectural and design details about what and how to implement things and never went with high level prompts (which is trend nowadays, I guess). So I very frequently use #selection in github copilot to precisely specify what I am pointing at.
• I love UI based code diff integration with github copilot. (I dont like code to be intermingled with chat window as in case of TUI based agents.)
• I love the abilitiy to undo several chat steps earlier just by scrolling in github copilot chat and clicking corresponding restore checkpoint button.

I was mainly using Sonnet 4.5 earlier. However copilot was getting a lot costly lately.

So was looking at some alternatives. My requirements are bold faced above. Let me restate:

• #selection like functionality
• UI based code diff integration
• Undoing changes by scrolling to chat history and clicking corresponding button
• Sonnet 4.5 (at least)

Is there any subscription + agent provide with these combinations? I was thinking to use Claude API key with github copilot. But it seems Claude API key will be a lot costly than Claude Code subscription? Do you guys have any suggestions? Or I have no option left? How about using something like qwen 3.6 27b from OpenRouter in GitHub copilot free?

I bought two soundcore V20i in the past at INR 2099 each.

https://preview.redd.it/w75vh9uzsffh1.png?width=757&format=png&auto=webp&s=3c93191d235178d609ea9b84977dfcade0303d5e

But the cost of the same has increased to INR 9949 !!

https://www.amazon.in/dp/B0D31C567W

https://preview.redd.it/rnnluj3cwffh1.png?width=1174&format=png&auto=webp&s=a9268a68203ca9d74f79d71d040c742e7b5b56f2

What is happening?

There seem no good open ear headphones under INR 2500 from some well know brand !!

Also not many India youtubers are reviewing these types of earbuds. Why?

PS: Why I am looking out for these? Because they cause least ear drum damages. Am wary about it as my both parents have profound hearing loss. And I dont want to follow same destiny.

(There are definitely some open ear headphones under 2500, but I dont know whether to trust these companies.)

Was trying to find the difference between Optima Secure vs Super Secure vs Secure Plus. I didnt find any great source online. So I tried to find their policy wording. I came across PDFs with tens of pages:

optima-secure-revision-pw.pdf (53 pages)

Optima+Super+Secure-Policy+wording.pdf (106 pages)

optima-plus-policy-wordings-579493504477.pdf (29 pages)

Figuring out difference between these from those PDFs is very difficult task.

So I tried check if they present quick feature shortlist during buying one of them for 20L sum insured. I went on purchasing Optima Secure, and surprisingly there was buttong to switch the policy. And lo and behold, they presented nice big table comparing exactly above three policies. I quickly saved the comparison as PDF. Here is the link for someone to refer in the future: https://drive.google.com/file/d/19K4cPZmm5U1gZCNEBzZcWe1d4fW3uYIK/view?usp=sharing

Differences I noticed in three policies

1. In third row, the Optima Secure says "Plus Benefit (Cover Grows Each Year)". Hovering over corresponding (i) sign says "You cover increases by 50% every year up-to 2 years". So this means it becomes 3x cover similar to Super secure after 2 years. Correct me if am wrong.
2. Optima Secure Plus does not seem to offer deductible, but Secure and Super Secure seem to offer deductible.

I have few doubts. First, the table dones not list "Infinite Benefit" of Secure plus. For example, the website states following:

https://preview.redd.it/pt93uuisf9eh1.png?width=1130&format=png&auto=webp&s=76e6e8fb4692e4dff78e6253fa864f48d431c33f

at link: Optima Secure Plus Health Insurance

The table also does not lists many other differences presented at above link:

https://preview.redd.it/6rzafa5zf9eh1.png?width=1568&format=png&auto=webp&s=bb2b11e338c9c6115f0091c35d21286fa6768492

These differences clearly gives notion thant Secure+ has better coverage than Secure. The table in PDF also shows their premiums is almost same. Q1. Then what is catch?

Q2. How Secure+ compare with Super Secure? Does super secure provide infinite benefit?

Q3. Is Limitless Add-on make sense?

https://preview.redd.it/x29v4vieg9eh1.png?width=1115&format=png&auto=webp&s=272fe53a816aebca5b0d2e8f3a9cadbaf530e1ac

Q4. Should one opt for Secure+ given its a bit cheaper and provide 3x benefit from day 1?

https://preview.redd.it/rro967coj9eh1.png?width=844&format=png&auto=webp&s=aff0ed0a6a47b8b4c2fb914cc1d1fa60739c3ca8

Q5. Should one opt for 5 years for Secure+? (Super Secure only provide 3 years option)

https://preview.redd.it/khr9hiu6k9eh1.png?width=838&format=png&auto=webp&s=1eba135b8ab04c3fcdbba9176a15da0f710d68c5

Many times in the past I used to visit satsangdhara.net for beautiful marathi translation of spiritual text. But the website seems down now. Does anyone know what happened to it?

The corresponding blogspot page is still up but has only few translations: https://satsangdhara.blogspot.com/

From the blogspot page, it seems that the person running the website is from Pune:
https://www.blogger.com/profile/16911976200789934527
https://www.blogger.com/profile/05643398894983226889

Does anyone know if he is he OK? Does he need any help?

Here is the snapshot of the website from waybackmachine: https://web.archive.org/web/20260310043712/https://satsangdhara.net/

https://preview.redd.it/ure10p4pgj3h1.png?width=1795&format=png&auto=webp&s=4880c1058d22ed3627224ed5bd5a35ca4a0635e1

Here is the sample translation:

https://preview.redd.it/dpa24xfvgj3h1.png?width=2012&format=png&auto=webp&s=3a0a9a2312a989a5ff8eea6578d6737b7b9b7dee

You can still find google list its links:

https://preview.redd.it/11wvetl3fj3h1.png?width=768&format=png&auto=webp&s=e5415f881e22978c3b6feb6e7505fd0ab6ee0028

My current room temperature is 30C with 70% humidity. I just booted up my laptop. And it looks as in screenshot. Note:

1. Relatively low number apps (8) in task bar tray at bottom right coriner.

2. CPU, GPU, Dosk or RAM is not loaded (<10% from the task manager graphs)

3. Only four edge tabs

4. Note that my laptop temperature is 86C as you can see on taskbar (on left of "ENG IN")

It very easily shoots to 100 with some more work load. In fact when booted up it was 100C for 5-10 minutes without me doing anything. I have just now used WinUtils apps to disable updates and apply standard tweaks, but no help. I also disabled everything except "Realtek HD Audio Universal Service" from startup apps tabs in task manager.

My machine is two months old (newly bought) Lenovo ideaPad Pro 5 - 16IMH9.

Did I miss anything? Why its running so hot? What can I do?

https://preview.redd.it/5nhlznozqd0h1.png?width=2047&format=png&auto=webp&s=4573a6d37424418fba0b9c365c9fb12808b714c5