Snyk founder's new venture, TESOL, posits that AI will make code disposable. Instead of code being the source of truth, a durable, versioned 'spec' document defining requirements will become the core asset. AI agents will generate the implementation, fundamentally changing software development.

Tools like Git were designed for human-paced development. AI agents, which can make thousands of changes in parallel, require a new infrastructure layer—real-time repositories, coordination mechanisms, and shared memory—that traditional systems cannot support.

New IDEs like Gastown, with roles like 'overseer' and 'mayor' managing AI agent 'convoys,' reveal the developer's future. The job is becoming less about writing code line-by-line and more about high-level orchestration, prompting, and reviewing the output of specialized AI agents to complete complex tasks.

The evolution of software from human-written code to AI-driven systems requires a new platform. This platform will manage development as a "system graph" or "knowledge graph," a higher abstraction than GitHub's file-based model. OpenAI's internal tool signals this shift away from traditional source control.

The next major advance for AI in software development is not just completing tasks, but deeply understanding entire codebases. This capability aims to "mind meld" the human with the AI, enabling them to collaboratively tackle problems that neither could solve alone.

Experienced engineers using tools like Claude Code are no longer writing significant amounts of code. Their primary role shifts to designing systems, defining tasks, and managing a team of AI agents that perform the actual implementation, fundamentally changing the software development workflow.

Faced with growing competition in AI coding assistants, Microsoft's GitHub is positioning itself as the central hub. By becoming the 'Agent HQ' where developers can manage and deploy multiple competing agents, GitHub ensures its platform's growth regardless of which agent wins.

To effectively interact with the world and use a computer, an AI is most powerful when it can write code. OpenAI's thesis is that even agents for non-technical users will be "coding agents" under the hood, as code is the most robust and versatile way for AI to perform tasks.

According to former OpenAI founder Andre Karpathy, the default programming workflow has become unrecognizable in just the last few months. The paradigm has shifted from developers typing code into an editor to managing and orchestrating autonomous AI agents who are given goals, not step-by-step plans. The new critical skill is managing agents effectively.