We are crossing a threshold in software creation that represents a structural shift in the industry. It’s not just a minor tooling upgrade; it is the end of software as a long-term commitment. We are entering the era of Software on Demand.
For decades, software was something you planned, budgeted, and maintained with heavy “sunk-cost” gravity. Today, with the rise of Agentic CLIs and autonomous coding agents, software is increasingly something you summon. You go from idea to real utility instantly, then decide whether to keep it, evolve it, or simply discard it.
The End of Software as a Permanent Liability
Traditionally, building a tool required weeks of planning and months of engineering. Once built, it became a permanent resident on your balance sheet—demanding maintenance even after its primary usefulness faded.
AI coding tools like Claude Code, Codex CLI, and Cursor are flipping this script. Andrej Karpathy recently described this as a phase shift in software engineering, where developers move from writing syntax to “programming in English.”
This collapses the cost of experimentation. Software is no longer a precious asset; it’s a fluid resource. We can now generate:
- One-off tools for specific data migrations.
- Disposable automations for a single marketing campaign.
- Ephemeral internal apps that only need to exist for a one-week project.
- Rapid prototypes that actually run in production-like environments.
Agentic Tools: From “Assistant” to “Autonomous Engineer”
The industry is moving beyond simple autocomplete. We are seeing the rise of agentic coding tools—systems that don’t just suggest lines of code but understand entire repositories.
Platforms like Replit Agent explicitly market this shift: you describe an idea, and the system builds and deploys an app. It’s effectively an entire team of engineers on demand. These agents can:
- Understand complex project structures across multiple files.
- Execute multi-step plans autonomously.
- Self-correct by running tests and iterating on failures.
“Build the thing. Fix it if it breaks. Improve it if it can."
This is the new directive. No ceremony, no guilt, and—most importantly—no permanent maintenance burden unless you choose it.
The Situational Interface: MCP and Ephemeral Workflows
The Model Context Protocol (MCP) by Anthropic is the “connective tissue” of this new era. By allowing AI models to operate across Slack, Figma, Canva, and analytics platforms, software becomes situational.
Instead of building a rigid, permanent integration between two pieces of software, you can now create a temporary workflow that exists only as long as the intent does. The software adapts to the context rather than living forever as a legacy script.
We are entering the Agentic CLI Era, moving toward command-line agents that execute real engineering workflows end-to-end. Spin up a backend today, generate a data pipeline tomorrow, and kill it next week when the analysis is done.
The New Elite Skill: Curating Software, Not Just Writing It
As tools like the open-source Cline demonstrate, the bottleneck of production is shifting. When an autonomous agent can plan, execute, and browse for solutions, the limiting factor is no longer developer hours.
The bottleneck is now idea quality and judgment.
The craft of the modern developer is shifting from:
- Hand-coding everything $\rightarrow$ Directing intelligent systems.
- Managing Technical Debt $\rightarrow$ Curating results and enforcing correctness.
- Building Infrastructure $\rightarrow$ Deciding what is worth building.
Actionable Takeaway: Start “Vibe Coding”
To stay ahead, stop over-planning for longevity. Start building “micro-tools” for your daily tasks. If a task takes you 30 minutes to do manually, use an agent to build a 2-minute automation. If it stops working next month? Delete it.
In the era of Software on Demand, the most valuable code is the code you aren’t afraid to kill. Software is no longer just infrastructure—it is an on-demand extension of thought.






























