# Agentic Coding Workflows
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Experimentation • Ongoing
# Agentic Coding Workflows: A Field Report
I am currently running a series of experiments to see if an autonomous AI agent can build a
production-ready SaaS MVP in under 48 hours without human intervention. The results are... complex.
The promise of "Agentic Coding" (using tools like Devin, Cursor, or custom ReAct loops) is that software
development becomes a higher-level activity. Instead of writing functions, you write intents. You become
the Architect, and the Agent becomes the builder.
## Where Agents Excel
Scaffolding and Boilerplate. Agents are phenomenal at the "boring" parts of coding.
Setting up a Next.js project, configuring Tailwind, writing standard CRUD API endpoints. These are tasks that used
to take me 4 hours now take 4 minutes. The agent doesn't get bored, doesn't make typos, and follows the
documentation perfectly.
## Where Agents Fail
Context Windows and Business Logic. The moment the complexity of the application exceeds
the agent's context window, things fall apart. I've watched agents "hallucinate" APIs that don't exist
because they confused two different libraries. I've seen them get stuck in infinite loops trying to fix
a bug, only to introduce three more.
The "Failure Mode" of an agent is distinct. It doesn't just stop; it confidently destroys your codebase.
One wrong command, and it deletes your database migration history because it thought it was helping.
## The Verdict (So Far)
We are not yet at the point of "autonomous software engineers." But we are absolutely at the point of
"10x Developer Productivity." Used correctly, as a pair programmer that handles the grunt work while you
handle the architecture, agents are the most powerful tool I've seen in 20 years of coding. But you can't
take your hands off the wheel.