The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
Tessl
78 episodes
1 day ago
Bots follow scripts. Assistants wait for your commands. Agents act autonomously. Maksim Shaposhnikov, AI Research Engineer at Tessl, joins Simon Maple to unpack the capabilities of AI coding agents, including how developers can test and trust the code they generate. On the docket: • how sub-agents operate independently, maintaining their own context windows to handle complex tasks without overloading the main agent. • why human-in-the-loop oversight is still essential, even as agents can a...
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Bots follow scripts. Assistants wait for your commands. Agents act autonomously. Maksim Shaposhnikov, AI Research Engineer at Tessl, joins Simon Maple to unpack the capabilities of AI coding agents, including how developers can test and trust the code they generate. On the docket: • how sub-agents operate independently, maintaining their own context windows to handle complex tasks without overloading the main agent. • why human-in-the-loop oversight is still essential, even as agents can a...
Why AI Coding Agents Are Here To Stay | Patrick Debois
The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
48 minutes
3 months ago
Why AI Coding Agents Are Here To Stay | Patrick Debois
Patrick Debois, the mind behind “DevOps,” joins Simon Maple to unpack the system-level shifts AI is driving across software engineering, drawn from what he saw firsthand at the AI Engineer’s World Fair. They also get into: • how inconsistent codebases confuse AI • why running agents locally is becoming obsolete • inside OpenAI’s concept of “model specs” AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI....
The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
Bots follow scripts. Assistants wait for your commands. Agents act autonomously. Maksim Shaposhnikov, AI Research Engineer at Tessl, joins Simon Maple to unpack the capabilities of AI coding agents, including how developers can test and trust the code they generate. On the docket: • how sub-agents operate independently, maintaining their own context windows to handle complex tasks without overloading the main agent. • why human-in-the-loop oversight is still essential, even as agents can a...
