What if the whole point of your AI agent was to eventually make itself redundant? Dru Knox, Head of Product at Tessl, introduces the Tessl agent — a new interface built not just for AI-assisted coding, but for building the software factory that keeps improving without constant human input.
This is a conversation about loop engineering: how to set up automated feedback cycles so your agents get smarter, your code review gets tighter, and your team ships more without adding more toil.
What we cover: – What the Tessl agent is and how it fits into the broader Tessl platform – Loop engineering: why building automated feedback loops is the right place to start – How the agent sets up and continuously improves agentic code review – Why optimising your AI agent costs is usually the wrong lever to pull – The case for open, modular software factories — and the risk of vendor lock-in – UX expectations in the AI era: why outcome-oriented interfaces are now the baseline
🌐 Tessl: https://tessl.io 🔔 Subscribe for weekly episodes on AI-native development
What's your approach to building feedback loops into your agent workflows? Drop a comment — we'd love to hear how teams are thinking about this.
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