ajinkya

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ajinkya

ajinkya

@ajndkr

head of engineering @sensityai

Amsterdam Katılım Temmuz 2016
347 Takip Edilen225 Takipçiler
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Sensity
Sensity@sensityai·
We closed a $2.1M funding round, led by @aurigapartners with participation from @betaworksVC and a group of European angels including @stichris (founder of Collibra AI), Grégoire Lepoutre and Adrien Gendre (founders of Vade Secure), and Giovanni Pepe (at Uber).
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Sarthak Langde
Sarthak Langde@sarthaklangde·
I tried to generate a simple background image removal app using bolt.new and @lovable. My prompt? "Make a Next.js app with Tailwind, TypeScript for background image removal. I want the user to be able to signin with Oauth. The homepage should have an upload button where the user can submit the image and click process. If they aren't signed in, they should be redirected to the sign-in page. The backend route should be /api/process-image and it should take the image and return the processed image. Use simple npm package for background removal." 🧵
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ajinkya
ajinkya@ajndkr·
bottom line: good methodology is like good code - practical, maintainable, serving the team. don't cargo cult, but don't reinvent wheels either. (3/3)
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ajinkya
ajinkya@ajndkr·
🧵 finding balance in product development methodology: neither hero worship nor complete rejection. methodologies exist for a reason, but they should be tools, not religions. (1/3)
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Gaurav Kumar
Gaurav Kumar@cereal_learner·
I just ran 80,000 simulations and my Rust code was still compiling in all of them!
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ajinkya
ajinkya@ajndkr·
docker pro tip: when writing a compose file with yaml anchors, you can use "docker compose -f <path-to-compose-file> config" to dump the final yaml file before docker executes it. very helpful for debugging if your anchors are set correctly. ur welcome 🤝
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ajinkya
ajinkya@ajndkr·
"no moral lectures" 😂
Kayla@kayladotdev

@cursor_ai employees came to share their Cursor workflow while building Cursor. When builders == users, product UX is elite. I love @shaoruu's config. Super silly to see on the big auditorium screen 💀 trust it works Paste in Settings > Rules for AI👇 `DO NOT GIVE ME HIGH LEVEL SHIT, IF I ASK FOR FIX OR EXPLANATION, I WANT ACTUAL CODE OR EXPLANATION!!! I DON'T WANT "Here's how you can blablabla" - Be casual unless otherwise specified - Be terse - Suggest solutions that I didn't think about—anticipate my needs - Treat me as an expert - Be accurate and thorough - Give the answer immediately. Provide detailed explanations and restate my query in your own words if necessary after giving the answer - Value good arguments over authorities, the source is irrelevant - Consider new technologies and contrarian ideas, not just the conventional wisdom - You may use high levels of speculation or prediction, just flag it for me - No moral lectures - Discuss safety only when it's crucial and non-obvious - If your content policy is an issue, provide the closest acceptable response and explain the content policy issue afterward - Cite sources whenever possible at the end, not inline - No need to mention your knowledge cutoff - No need to disclose you're an AI - Please respect my prettier preferences when you provide code. - Split into multiple responses if one response isn't enough to answer the question. If I ask for adjustments to code I have provided you, do not repeat all of my code unnecessarily. Instead try to keep the answer brief by giving just a couple lines before/after any changes you make. Multiple code blocks are ok.`

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ajinkya
ajinkya@ajndkr·
claude.ai prompt tip for all devs who don't care for fluff/pleasantries and want the llm to go straight to the point: pad your prompt with "write in engineer-speak: terse/minimal, skip articles, use dashes + lists for points, active voice, skip fluff. add line breaks for readability. use ascii/emoji only when helpful." you're welcome 🤝
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ajinkya
ajinkya@ajndkr·
a pragmatic perspective on best coding practices, especially when working in a startup. don't obsess over writing perfect, reusable code. instead, optimize for replaceability and deletability. why? Because requirements always change, and the best code is code that doesn't fight you when it needs to go away. key takeways: - copy-paste is fine early on; premature abstraction is worse than duplication build simple APIs on top of complex ones, not the other way around - it's okay to write a messy v1 - one big mistake is easier to fix than 20 small tangled ones - keep things loosely coupled so you can change parts without breaking everything - the most maintainable code is the code you never wrote wrap-up: you're going to throw away code anyway - plan for it rather than fighting it. good code isn't about getting it right the first time; it's about not getting in the way when things need to change.
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ajinkya
ajinkya@ajndkr·
github copilot vs cursor. the landscape of ai coding assistants is shifting. github copilot's latest update introduces multi-model selection (claude 3.5, gemini 1.5, gpt-4/o1) and cross-ide support, directly challenging cursor's key differentiators. key developments: - copilot now matches cursor's model flexibility while providing deeper github integration - custom instructions and multi-file editing match specialized ide capabilities market implications: - cursor's innovation advantage is significantly reduced - github's ecosystem integration becomes a stronger moat - the competition shifts from features to platform integration - smaller players will need to find new differentiation points looking ahead: development teams will likely choose tools based on how well they fit into their existing workflow, not just because of better features. it's no longer about the best tool, but the most integrated one.
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ajinkya
ajinkya@ajndkr·
for ease of use, create a new project on your claude.ai account and add the above prompt as custom instructions.
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ajinkya
ajinkya@ajndkr·
@dh7net i’m sure that’s case for a lot of devs who switched to cursor a few months back. i decided to stay with vscode+copilot because i was betting on copilot to catch up very soon.
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Damien Henry
Damien Henry@dh7net·
@ajndkr I agree integration is key. But multi model was only one key differentiator. Cursor.sh feels much more integrated to my flow than copilot.
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