Scaling DevTools Andrew Filev, founder of Zencoder: AI Software Engineering agents
5 snips
Jul 8, 2025 Andrew Filev, founder of Zencoder and previously Wrike, discusses the evolution of AI in software engineering. He highlights the shift from simple code completion to sophisticated AI agents capable of collaborative problem-solving. Filev dives into how these agents can manage entire development workflows and the significance of agent-to-agent protocols for autonomy in coding tasks. He also emphasizes strategically using slower periods for teams to evaluate tools and processes, preparing for enhanced productivity in future development cycles.
AI Snips
Chapters
Transcript
Episode notes
Generations of AI Software Agents
- The evolution of AI software engineering is moving from simple code completion to complex AI agents managing various engineering tasks.
- Agentic systems use context, feedback loops, and tools to enhance code generation and software development efficiency.
Benchmarking Real Engineering Tasks
- Advanced benchmarks like SWE Bench help measure models' real-world software engineering capabilities beyond simple coding tasks.
- Models improved rapidly from solving 4% to 70% of those real-world engineering issues through better data and reinforcement learning.
Leverage Autonomous CI/CD Agents
- Embrace autonomous agents in your CI/CD pipeline to increase development speed and handle complex tasks concurrently.
- Combine coding agents in IDEs with autonomous pipeline agents for a comprehensive AI-assisted software lifecycle.