Dev Jain

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Dev Jain

Dev Jain

@corsairdotdev

building Corsair (W25) The integration layer for agents. Open source with 1,000+ integrations UT Austin '22 🤘

New York City Katılım Kasım 2025
38 Takip Edilen14 Takipçiler
Vasilescu David
Vasilescu David@buildingwwdavid·
@corsairdotdev @zaimiri facts, the error handling alone in n8n can eat an entire afternoon. we're working on something way simpler — runs locally, flat fee, bring your own AI keys. interested in trying it?
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zaimiri
zaimiri@zaimiri·
Built a bot that watches Client Workflows for n8n. I run workflows for multiple clients in n8n. Sometimes something breaks & I need to fix it before the client finds out Now I just get notified on Telegram and click "Approve" > Spawns headless Claude Code session > Fixes the n8n workflow > All from my phone > Client pays me retainer to keep it working What a life.
zaimiri tweet media
n8n.io@n8n_io

Deploying AI without oversight can be a liability💡 Get tips, practical patterns, and downloadable templates to bring human review where you need it most. Get started with the Production AI Playbook here: bit.ly/4sDXXlx

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Rudra
Rudra@Rudra1071219·
@corsairdotdev Hey dev, I came across Corsair on GitHub, really like the idea of abstracting away the integration plumbing (that 95% pain is too real 😅). Is it open for external contributions? I’d love to explore contributing, especially around integrations or developer experience.
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Dev Jain
Dev Jain@corsairdotdev·
Tool calling is broken right now, and Corsair fixes it. Corsair lets your agent connect to anything online via APIs. It stores all data in your db so you can access it anytime. Built in webhooks, secure auth handling, strong types, and impossible to use wrong. Add it to your project with `npm i corsair`
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Dev Jain
Dev Jain@corsairdotdev·
@kentcdodds another benefit is you can quickly deactivate the feature if something isn't going to plan. instead of having to wait to rollback changes and redeploy, you can just toggle it off.
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Kent C. Dodds 🏹
Kent C. Dodds 🏹@kentcdodds·
I was literally thinking yesterday that feature flags become so much more important with AI implementations. You can more confidently ship features and get them into the hands of early adopter users who are excited to test out things early (even if things aren't nailed down) making it much easier to experiment with new ideas. Cloudflare out here solving real problems!
Fayaz Ahmed@fayazara

Today, we're announcing Flagship - Cloudflare's native feature flag service, built for the AI first world. Read more about it here blog.cloudflare.com/flagship/

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Dev Jain
Dev Jain@corsairdotdev·
@zaimiri makes sense! if you want to make it even better, id suggest you try corsair. it’s easier for an agent to work with and builds more complex workflows reliably
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Conner Bean
Conner Bean@ConnerBean·
the best engineers I've worked with had some of the worst resumes
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Dev Jain
Dev Jain@corsairdotdev·
@enesakar i aim for the most efficient coding agents so i can get nothing done faster
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Enes Akar
Enes Akar@enesakar·
Something’s off when you spend more on time tools than on the work itself.
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Dev Jain
Dev Jain@corsairdotdev·
@aakashgupta agent wars will always be on the API layer. if any product has sufficient demand for an API layer, it has to eventually offer one or risk losing their customer base. cua and browser use are great on the UI layer, but i think they are a bandage solution until that product has api
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Aakash Gupta
Aakash Gupta@aakashgupta·
The framing here tells you everything. "Workflows that don't expose an API." OpenAI spent three years convincing the software industry to build structured integrations. Function calling in 2023. The plugin store. Actions. Then MCP adoption pushed across every major SaaS vendor through 2025. The entire premise was that models work best when apps expose clean interfaces. Shipping a computer-use agent is the admission that premise didn't hold. Most internal enterprise software will never get a modern API. Hospitals still run on systems built in 2004. Insurance claims flow through Windows apps with no URL scheme. Oracle, SAP, Workday, the long tail of government portals. Billions of dollars of labor sit trapped behind software that was never going to expose structured endpoints to an agent. You can pay a sales team to convince Epic to build an MCP server, or you can ship a vision model that clicks buttons. OpenAI just picked the second one. The timing is the other tell. Anthropic shipped computer use in October 2024. They shipped on-device computer use in Cowork and Claude Code on March 24 of this year. That's 23 days ago. OpenAI's response window on a headline capability has compressed from 6 months to 3 weeks. Worth watching what this does to the valuations of every AI integration startup that raised on "we build the connectors." If the model can just drive the mouse, the connector layer gets thinner fast. The bet now is whether the vision-first approach hits the 95% reliability bar enterprise workflows actually need. Claude is around 61% on OSWorld-Verified. Human baseline is 72%. The gap is closing but it's still the bottleneck on the whole thesis. The agent wars just moved from the API layer to the pixel layer.
OpenAI@OpenAI

Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeatable tasks.

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Suhas
Suhas@zuess05·
Serious question. For the last 10 years, society told everyone "just learn to code" to escape the middle class. Now Claude writes the code. What exactly is the career advice for an 18-year-old right now?
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Dev Jain
Dev Jain@corsairdotdev·
@kylegawley when you don’t see results in the first day or two you assume no one is interested and move on. but tweaking the message is just as important as tweaking the product
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Kyle Gawley
Kyle Gawley@kylegawley·
problem with shipping fast is you have no opportunity to measure what’s actually moving the needle Experiments take weeks to run
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“paula”
“paula”@paularambles·
welcome to the future
“paula” tweet media“paula” tweet media
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Dev Jain
Dev Jain@corsairdotdev·
@DavidKPiano is this for introspection? kind of letting the agents see what they have access to? not fully following
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David K 🎹
David K 🎹@DavidKPiano·
Released the XState v5 skill 🚀 The goal isn't just "know the API" but rather "help agents make really good state machines" Tuned & tested against real examples, common anti-patterns, and the mistakes* LLMs tend to make with XState npx skills add statelyai/skills
David K 🎹 tweet media
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Dev Jain
Dev Jain@corsairdotdev·
@KaraBharat template literals are a goldmine of typescript tricks
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Bharat Kara
Bharat Kara@KaraBharat·
⚡️ TypeScript utility to map nested object keys to a flat union of dot-notation paths #TypeScript
Bharat Kara tweet media
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Dev Jain
Dev Jain@corsairdotdev·
@SDinesh91 when you don't have a result, you make your input the metric lines of code and tokens are inputs
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Dinesh S
Dinesh S@SDinesh91·
Lines of code were already a bad metric for developer productivity. And now we have an even worse metric popping up "tokens burned". What's wrong with the software industry 🤦‍♂️
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Dev Jain
Dev Jain@corsairdotdev·
@mxkaske ah gotcha, that makes sense! btw, i've used this a few times in my own projects haha great work! a good data table is so underappreciated
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Dev Jain
Dev Jain@corsairdotdev·
@mxkaske Like SEO with Google? I’m trying to rank more on that as well with Corsair but have been having trouble
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Dev Jain
Dev Jain@corsairdotdev·
@JussCubs if you can have better MCP context management, you can waste a lot less tokens with little effort
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Cubs ⛏️
Cubs ⛏️@JussCubs·
if u are maxing out codex or claude code credits, you are not leveraging MCP server tools, memory, and docs/context management if you feel like you use too many tokens, that's almost certainly your issue your LLM has to pull all new context every run study context management
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Dev Jain
Dev Jain@corsairdotdev·
@gakonst @mpp aren't you seeing a lot of context bloat from adding so many mcp servers?
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