Sairam

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Sairam

Sairam

@sairam

Staff Engineer; Ruby/Rails Dev; Devops lead; AI enthusiast

Remote Katılım Şubat 2008
555 Takip Edilen568 Takipçiler
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MIT School of Engineering
MIT School of Engineering@MITEngineering·
MIT engineers have developed “mini livers” that could be injected into the body and take over the functions of the failing liver. This would help patients who are on a waitlist for a liver transplant or those who aren’t healthy enough to tolerate surgery. news.mit.edu/2026/injectabl…
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Chris Laub
Chris Laub@ChrisLaubAI·
A Rust dev just killed Headless Chrome. It's called Obscura. The open-source headless browser purpose-built for AI agents and scrapers at scale. Chrome vs Obscura: - Memory: 200MB+ → 30MB - Binary: 300MB+ → 70MB - Page load: 500ms → 85ms - Startup: 2s → Instant - Anti-detect: None → Built-in Single binary. No Node, no Chrome, no dependencies. Stealth mode is brutal: → Per-session fingerprint randomization (GPU, canvas, audio, battery) → 3,520 tracker domains blocked by default → navigator.webdriver masked to match real Chrome → Native function masking so detectors can't sniff it out Drop-in replacement for Puppeteer and Playwright over CDP. Zero code changes. If you run agents or serious scraping at scale, this repo prints money. 100% Opensource.
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Ray Fernando
Ray Fernando@RayFernando1337·
This guy rage coded a $199 app in less than an hour and cooked the OP.
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Glauber Costa
Glauber Costa@glcst·
What if we could run Postgres as a single file, and take advantage of the best SQLite has to offer? Today I am announcing pg-micro, a crazy experiment I've been undertaking to make this happen. pg-micro is different than other approaches because it is fully local, and expected to be fast: there is no concurrency limitation and no statement translation. Here's how it works: we use the actual postgres parser to parse the statement, but compile that to the Turso AST. The Turso AST is then compiled do bytecode, and from there everything executes natively, as it'd do in SQLite. This makes it a perfect target to run in any environment. There is traditionally a mismatch between Postgres and SQLite in terms of functionality. But @tursodatabase has been hard at work to close this gap: things like MVCC and a rich, strict type system are present in Turso. There are PRs for things like lateral joins, etc. This means that the gap can be closed until it theoretically reaches zero. What you could do with it? Just imagine for example a primitive like Durable Objects by @Cloudflare, but with a postgres interface? Or imagine you could use the same pattern of local databases for agents that SQLite gives you, totally ephemeral and free, but with a Postgres interface? Or even that you could execute remote postgres in platforms like @vercel but with the unmatched density of the Turso Cloud? Expect lots not to work at this point. But as usual, this is done in the full spirit of OSS, so PRs welcome! To get started: npx pg-micro
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Rach
Rach@rachpradhan·
I replaced FastAPI's entire HTTP core with Zig. Same decorator API. Same Pydantic models. 7× faster. 47,832 req/s vs FastAPI's 6,800. 2.09ms p50 latency. Introducing. TurboAPI. Here's the story..
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Nico Bailon
Nico Bailon@nicopreme·
Created an agent skill called “Visual Explainer” + set of complementary slash commands aimed to reduce my cognitive debt so the agent can explain complex things as rich HTML pages. The skill includes reference templates and a CSS pattern library so output stays consistently well-designed. Much easier for me to digest than squinting at walls of terminal text. github.com/nicobailon/vis…
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Claude
Claude@claudeai·
New in Claude Code: Remote Control. Kick off a task in your terminal and pick it up from your phone while you take a walk or join a meeting. Claude keeps running on your machine, and you can control the session from the Claude app or claude.ai/code
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Lokendra Singh
Lokendra Singh@HYDTrafficMan·
How to get hoardings removed as per law: 1. Do not complain to @GHMCOnline as GHMC Act is not deterrent and officials do not enforce it fully. 2. Instead, call to local police station and ask them the official email id of police station. 3. Write the brief facts of the complaint like place, type of risk etc. Mention that you want to get it removed under section 152 BNSS and 168 BNSS. 4. While sending email, at last line write that "Please acknowledge the receipt of this email (electronic record) u/s 12(1) of IT Act" 5. It becomes a official record. If action is not taken, then you can file an RTI for Action Taken Report of your complaint sent via email under life/liberty case (Right to Safety & Security) and authority has to respond within 48 hours.
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elvis
elvis@omarsar0·
New Research from Amazon. Great paper showing how to build effective lightweight multi-agent systems. This new research introduces Insight Agents, a multi-agent system built on a plan-and-execute paradigm that lets Amazon sellers talk to their business data through natural conversation. The architecture uses a hierarchical manager-worker structure. A manager agent handles out-of-domain detection using a lightweight autoencoder and routes queries via a fine-tuned BERT classifier (33M parameters). Two specialized worker agents handle the actual work: a data presenter for descriptive analytics and an insight generator for diagnostic analysis. The design is deliberately pragmatic where an autoencoder-based OOD detector achieves 0.969 precision in under 0.01 seconds, compared to 0.616 precision and 1.67 seconds for LLM-based few-shot detection. The BERT router hits 0.83 accuracy in 0.31 seconds versus 0.60 accuracy and 2.14 seconds for an LLM classifier. Instead of text-to-SQL, the system uses an API-based data model that decomposes queries into granular steps matched to internal data APIs. This divide-and-conquer approach avoids the syntax errors and hallucinations common in SQL generation while maintaining high retrieval accuracy. End-to-end, the system achieves 89.5% question-level accuracy based on human evaluation across relevance (0.977), correctness (0.958), and completeness (0.993), with P90 latency under 15 seconds. This shows how combining lightweight specialized models for routing with LLMs for reasoning and generation delivers a production-grade agent system that prioritizes accuracy and latency over architectural complexity. Paper: arxiv.org/abs/2601.20048 Learn to build effective AI agents in our academy: dair-ai.thinkific.com
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Joe Masilotti
Joe Masilotti@joemasilotti·
I rolled my own Stripe-style IDs in Rails with a simple concern. It created prefixed IDs like app_WR48CQHH, clean URLs without the prefix, and a scope that accepts either format. I also ignore certain characters to avoid ambiguous ones like 0/O and 1/l.
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Yuval Avrahami
Yuval Avrahami@yuvalavra·
We hacked the AWS JavaScript SDK, a core library powering the entire @AWScloud ecosystem - including the AWS Console itself 🤯 How did we do it? Just two missing characters was all it took. This is the story of #CodeBreach 🧵👇
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Oliur
Oliur@UltraLinx·
Can you read 900 words per minute? Try it.
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Vivek
Vivek@Vivek_Investor·
Note to self.
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masterzorgon 🇺🇸
masterzorgon 🇺🇸@masterzorgon·
@claudeai claude just displaced hundreds of AI slop B2B AI SaaS products
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Sahil Bloom
Sahil Bloom@SahilBloom·
If you choose to cut corners, you’ll live with it…
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Vivek Galatage
Vivek Galatage@vivekgalatage·
Nice visual explainer! cpu.land
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Sanskar Shukla
Sanskar Shukla@sanskar0627·
real !!!
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