Zencoder

Zencoder is the most advanced AI assistant for every team

Tired of piecing together engineering health from spreadsheets every Monday? Get a real-time, objective view of your team's performance every morning. Automatically. ZenFlow's new Engineering Manager Dashboard connects securely to GitHub, Linear, Jira, and Sentry to pull live data. Every weekday morning at 8 AM, it generates a comprehensive engineering health report, completely hands-free. What you get in 60 seconds of setup: - DORA metrics showing how fast and safely you're shipping, with clear trends - PR cycle time broken down by stage - Investment allocation balancing new features against tech debt Stop building reports by hand. Measure what matters, then fix what's broken. Watch the 90-second walkthrough above, then set up your team's dashboard today. #EngineeringManagement #DevTools #DORAMetrics #EngineeringLeadership #ZenFlow #SoftwareDevelopment #TechLeadership

Your team is drowning in engineering analytics tools — DORA dashboards, productivity trackers, PR velocity reports, code quality scanners. Six figures a year, easy. And most of that data? It's already sitting inside the AI platform your engineers use every single day. Join Ben Dechrai (Senior DevRel) and Will Fleury (Director of Technology) for a session showing Engineering Managers how to extract the metrics that actually matter — directly from Zenflow, without buying yet another dashboard. What you'll learn: - The four engineering metrics that actually predict team health (and which ones to ignore) - How Zenflow surfaces DORA-style signals — cycle time, change failure rate, review depth — natively - Using multi-model AI pipelines (Plan → Build → Review) to measure and improve quality at the same time - How to spot bottlenecks across your team without becoming a surveillance manager - Real teardown: replacing a $100K/yr analytics stack with what's already in your AI workflow Who it's for: Engineering Managers, Directors of Engineering, Tech Leads, and VPs of Engineering who are tired of paying for visibility they should already have. Bring the metric you wish you had. We'll show you where it's been hiding. Live Q&A at the end.

Featuring Amos Bar-Joseph, who is building an AI-first company with just 3 employees, on a mission to scale to $30M ARR by leveraging autonomous agents instead of traditional teams. AI is rapidly moving beyond copilots and automation tools into something far more powerful autonomous agents capable of planning, executing, and optimizing entire business functions. In this session, we’ll explore a provocative but increasingly real question: Will AI agents become the next CEOs? Join Amos Bar-Joseph and the Zencoder team as we unpack: What separates true autonomous AI companies from simple automation stacks How AI agents are already running growth, operations, and engineering workflows The shift from human-managed processes to orchestrated agent systems What founders and product leaders must build today to stay ahead of this transition Whether you’re building a startup, scaling a SaaS business, or designing AI-first products, this webinar will give you a front-row view into the rise of the autonomous company and the infrastructure powering it.

We're diving into multi-agent orchestration and spec-driven workflows — approaches that are showing promise AI across the SDLC. We'll explore: - Common limitations we're seeing with single-agent and chat-based approaches - How specification-driven development helps maintain context and consistency - Emerging patterns for coordinating multiple AI agents - What we're learning about running AI agents in CI/CD environments This is a discussion about what's working (and what isn't) at scale.

Spec-Driven Development (SDD) promises speed and clarity—but most teams struggle to operationalize it. In this live session, we’ll show you how to build a complete, production-ready SDD workflow using Zenflow—from requirements and specs to agent orchestration, validation, and delivery. What you’ll learn: - How to structure specs that agents actually follow - Turning specs into repeatable, multi-agent workflows - Managing approvals, verification, and human-in-the-loop steps - Scaling SDD across teams without chaos - Real-world examples of maximizing engineering productivity with Zenflow 🎯 Who should attend: Engineering leaders, senior developers, platform teams, and anyone serious about using AI beyond chat prompts.