The AI Native Dev - from Copilot today to AI Native Software Development tomorrow AI Agents Beyond Context Limits | Maksim Shaposhnikov
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Oct 28, 2025 Maksim Shaposhnikov, a research engineer at Tessl, dives into the world of AI coding agents aimed at enhancing coding reliability. He contrasts the roles of bots, copilots, and autonomous agents, highlighting how sub-agents can operate independently to handle complex tasks. Maksim also emphasizes the importance of human oversight, even as agents autonomously generate prototypes and fix bugs. He shares insights on managing context limits, optimizing tool choices for developers, and the promising future of self-correcting agents.
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Where Agents Sit In The AI Stack
- Agents differ from bots, copilots, and assistants by autonomy and task horizon.
- Agents can act proactively on long-horizon tasks while assistants wait for user decisions.
Grow Autonomy Gradually
- Start with simple tools and progress as you trust the system more.
- Use copilots first, then assistants, then terminal agents as your experience grows.
Why Sub-Agents Exist
- Sub-agents are spawned instances controlled by a main agent to split complex tasks.
- They preserve separate context windows and enable parallel exploration and faster results.