Zencoder

It used to be that 30% of architectural work is asking the right questions, and the other 70% was industry experience and knowledge. Now, AI can provide that other 70%, so we're left with a new equation: Before: 30% asking right questions + 70% accumulated knowledge = Good architecture Now: 30% asking right questions + AI-delivered knowledge + Human judgment = Exceptional architecture According to Andrew F. from Zencoder, this isn't about AI replacing architects, but rather completing them. "The architects who will thrive aren’t those with the most memorized patterns or the deepest technical knowledge. They’re the ones who ask the best questions, who know which threads to pull, who can synthesize AI-delivered insights with human judgment and experience," he said. https://lnkd.in/eyB_NTVM

The Zencoder team is excited to be heading to Las Vegas for Money 20/20, from October 26-29 at the Venetian Resort. We'll be participating in the Startup Pitch session and would welcome the opportunity to connect with fellow innovators and leaders in the fintech space. Catch our presentation on Monday, October 27th at 11:35 AM. Let's connect and discuss the future of finance! #Zencoder #Money2020 #Fintech #LasVegas #Innovation #StartupPitch #Networking

Most of us started with AI coding agents the same way we search Google: type a vague prompt, hope for magic. That works fine for toy apps — but when it’s time to ship production-grade systems, “vibe-coding” breaks down fast. In this webinar, we’ll talk more about Spec-Driven Development (SDD): a practical methodology that treats AI coding agents like literal-minded but powerful pair programmers. You’ll learn how SDD transforms chaotic prompting into a structured process with: - Upfront clarity through comprehensive specifications - Plans that respect your existing architecture and constraints - Tasks broken into testable units - Implementations that stay consistent across sessions We’ll walk through a real-world example: building a production-ready multi-channel notification system (email, SMS, in-app) with retries, analytics, and compliance requirements. By the end, you’ll understand not just the what but the how and why of spec-driven development — and how it can make AI-assisted coding a reliable part of your production workflow.

Haiku 4.5 is out. The model is remarkably capable — just six months ago, this level of performance would have been state-of-the-art on our internal benchmarks. Now it runs 4 times faster than Sonnet 4.5 at one third of the cost. This leap in performance and efficiency unlocks an entirely new set of use cases. It’s exciting to see frontier-level intelligence becoming more accessible.

Anthropic's Haiku 4.5 is now available on Zencoder – matching Sonnet 4's performance on coding, agentic tasks, but at substantially lower cost and faster speeds. Performance highlight: 73%+ on SWE-bench Verified: Delivers what was state-of-the-art five months ago in their most efficient package When to use Haiku 4.5 vs Sonnet 4.5: Sonnet 4.5: Frontier coding agents, critical reasoning tasks Haiku 4.5: Parallelized execution, sub-agents, high-volume operations Practical applications: • Fast incident response where speed directly impacts resolution time • Incremental improvements at scale (refactoring, test generation, code reviews) • Agentic workflows with multiple sub-agents running in parallel • Budget-sensitive deployments that still need strong intelligence Read about the release here 👇 https://lnkd.in/eQgTuBC3

Agents weren't ready 6 months ago. Models couldn't handle real work. Building with agents felt too early. Everything changed when the models caught up. Join us with Aykhan from Zencoder's Data and Agents team: → Why agents are now essential to the developer stack → The turning point that made autonomous coding real → How your workflow changes with Git, IDE, and Agents If you're still treating AI like fancy autocomplete, this conversation will shift how you think

🤔 Wondering if Zencoder is where you belong? At Zencoder, we've discovered that success isn't just about expertise, it's fueled by curiosity, genuine passion for transforming how AI helps developers work, and the energy you bring to collaborative problem-solving. We asked our team across engineering, product, and leadership: "What makes someone truly thrive here?" Their honest answers reveal what it's really like building the future of AI-powered development. Watch below 👇 #TeamZencoder #StartupLife #TechJobs #AIStartup #JoinOurTeam