Software engineering is undergoing a tectonic shift. We are moving from writing code line-by-line to orchestrating autonomous software agents that can plan, research, write, and verify complex changes across entire codebases. This is Agentic Coding—and it requires a new set of mental models, tools, and practices.
The Shift from Coder to Orchestrator
In the traditional model, a developer's bottleneck was syntax and local execution. In the agentic era, the bottleneck shifts to problem definition, verification boundaries, and system alignment. You are no longer just writing logic; you are facilitating the lifecycle of a solution. Direct interaction with the source system, middleman-free, ensures fast integration.
Autonomous Verification & Local Stacks
Agentic coding works best when backed by a strong verification ladder. If you cannot execute and verify changes autonomously, your agent-driven speed will only generate technical debt faster. We design automated verification layers—such as Postgres services and SMTP/IMAP protocol test harnesses—to create a rigorous safety net.
Multi-Agent Orchestration & Antigravity SDK
Learn how to define specialized subagents for research, implementation, and verification. We will cover spawning concurrent workers and ensuring safe inter-agent coordination without drift, leveraging the Google Antigravity SDK.
Live Stream Case Study
To demonstrate this in action, I will host a live stream. We will build a production feature from scratch, run parallel research and testing agents, and deploy to a bare-metal slot using a blue/green pipeline with zero downtime.
Syllabus: Agentic Coding & Systems Stewardship
I am launching an intensive course covering: ACI design, local verification stacks, multi-agent workflows, and zero-downtime production operations. Perfect for engineers, tech leads, and directors seeking direct execution power.