Konstantin Tarkus (@koistya) header
Konstantin Tarkus (@koistya) profile picture

Building the rails that AI workflows run on. Principal Engineer architecting the foundation for safe & scalable intelligence. ☕️ // Code #DevOps #Startups #AI

Marches, Italy
Joined September 2008
Photo by Konstantin Tarkus (@koistya)Photo by Konstantin Tarkus (@koistya)Photo by Konstantin Tarkus (@koistya)Photo by Konstantin Tarkus (@koistya)Photo by Konstantin Tarkus (@koistya)Photo by Konstantin Tarkus (@koistya)Photo by Konstantin Tarkus (@koistya)Photo by Konstantin Tarkus (@koistya)Photo by Konstantin Tarkus (@koistya)
Are AGENTS.md files actually helping your AI agents? 🤔 A new evaluation shows auto-generating context files actually decreases task success by 3% and increases costs by 20%+! The takeaway? Write them yourself and keep them strictly minimal. 🧵👇
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This data backs up exactly what we do in practice. Instead of a massive AI-generated repo overview, our React Starter Kit uses an AGENTS.md that is strictly under 50 lines of code. Check it out here: github.com/kriasoft/react-st… #ReactJS #LLMs
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Konstantin Tarkus retweeted
🚀 Verist v0.0.1 Verist is a determenistic workflow kernel for AI systems – built for replay, recompute, and diff. → No agents. → No hidden state. → No silent overwrites. If AI decisions need to be explainable months later, this is for you. github.com/verist-ai/verist
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Most APIs still ship their own SDKs, auth flows, and quirks. But now many expose an MCP server. So… why not just generate a typed client from that? Same mental model. Any MCP API.
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MCP + OAuth + CLI apps = lots of sharp edges. oauth-callback v2.2.0 smooths them out — redirect capture, token exchange, persistence. github.com/kriasoft/oauth-ca…
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Konstantin Tarkus retweeted
Struggling to get ChatGPT to understand your full codebase? This dev shares their bundling strategy to provide better context for AI assistance. 📦🧠 { author: @koistya } dev.to/koistya/how-i-bundle-…
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Cloudflare vs. Vercel just got real. 🥊 ☁️ Cloudflare = Global Infra 🚀 Astro = Zero JS / Peak DX youtube.com/watch?v=X1Gfv7P-…
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Cowork is a strong signal of where agentic workflows are heading. I've been exploring similar ideas with @sidebandtech — focusing on E2EE-first, trust-bounded workflows where files don’t have to leave the user’s control. #Claude #ClaudeCode #AI #AgenticAI
Introducing Cowork: Claude Code for the rest of your work. Cowork lets you complete non-technical tasks much like how developers use Claude Code.
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Released @sideband/secure-relay v0.1.0 – E2EE for browser↔daemon communication via untrusted relays. • Ed25519 identity signatures • X25519 ephemeral key exchange • ChaCha20-Poly1305 encryption • TOFU identity pinning • Replay protection github.com/sidebandtech/side…
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Just launched AI Assistant for React Starter Kit 🤖⚛️ It understands the actual codebase, architecture, and patterns, not generic React advice. Built to help you ship faster with fewer “where does this go?” moments. #React #TypeScript #DevTools #AI
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Konstantin Tarkus retweeted
We've updated our benchmarks 🚀 Drizzle v1.0.0-beta2 vs Prisma 7.1 Node 24.6: - Drizzle handled 2.13m requests, peaked at 9.4k reqs/s at ~100ms p95 latency - Prisma handled 668k requests, peaked at 2.3k reqs/s at ~150-200ms p95 latency before throttling Bun 1.3.4: - Drizzle handled 2.33m requests, peaked at 11.6k reqs/s at 25-30ms p95 latency - Prisma handled 678k requests, peaked at 2.3k reqs/s at ~150-200ms p95 latency before throttling
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No DDoS, no hack. Cloudflare outage = one small ClickHouse ACL change → duplicate features → config file too big → Bot Management module hits preallocated memory limit → entire frontline proxy crashes repeatedly. Bravo to #Cloudflare team for transparency 👏
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I used to joke about being a code therapist. Now it looks like it's an actual job — Vibe Coding Cleanup Specialist
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Bun's adding ws.subscriptions! No more manual tracking of which channels a WebSocket is subscribed to. Here's a quick example using WS-Kit:
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Working code isn't enough...
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Konstantin Tarkus retweeted
Universal Truths of Software Development 😬 ▫️The code you're most proud of will be deleted ▫️The code you're most ashamed of will run in production forever ▫️The feature you spent weeks perfecting will be used by exactly zero users ▫️The bug you can't reproduce will happen during the client demo .......
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Building rate limits in WS-Kit: Token buckets look simple: refill tokens, spend on requests, reject when empty. In production, fairness evaporates when capacity and refill rate aren’t tuned together. Here’s the playbook I use to keep systems responsive and abuse-resistant 🧵
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Need the full checklist, recovery-time calculator, and TypeScript snippets for per-user, per-route, and cost-based buckets? I broke it all down here → levelup.gitconnected.com/des…
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Different signatures, different math.
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