Agentic Coding for the Full App Lifecycle
Copilots wait for your next prompt. Agentic systems complete the project. Goodspeed runs specialized agents that discover validated problems, design products, generate production code, and launch to the App Store autonomously.
What is agentic coding?
Agentic coding is a paradigm where autonomous AI agents handle complex, multi-step software tasks without requiring human input at every step. Instead of responding to one prompt at a time, an agentic system receives a high-level goal, decomposes it into subtasks, executes each one, and handles errors along the way.
The distinction from copilot-style tools is autonomy. A copilot suggests the next line of code. An agent plans the next ten steps, executes them, tests the results, and course-corrects when something fails. The human role shifts from directing every action to reviewing outputs at meaningful checkpoints.
How Goodspeed uses agentic architecture
Four specialized agent classes, each with domain expertise, working in sequence.
Discovery agents
Scan 18 signal sources continuously: Hacker News, Reddit, App Store reviews, ProductHunt, Google Trends, GitHub Issues, and more. They surface real problems people are actively complaining about and score each opportunity on a 100-point rubric.
Architecture agents
Take a validated idea and design the full product. A UX-focused pass maps user journeys and feature sets. A technical pass decides database schema, navigation structure, and which of 12 cross-cutting features apply. The output is a complete product spec, not a rough outline.
Code generation agents
Start from a 246-feature battle-tested template and generate only what is unique to your app: onboarding flows, feature screens, services, and database migrations. The result is a production React Native codebase pushed to your GitHub repo.
Growth agents
Handle App Store Optimization with a 100+ keyword universe, prepare multi-channel launch campaigns for ProductHunt, Reddit, Hacker News, and Indie Hackers, and generate social content across niche channels. Marketing starts the day the app is built.
Agentic coding vs vibe coding
Both use AI to write code. The difference is scope, autonomy, and what happens after the code exists. Learn more about vibe coding.
| Vibe Coding | Agentic Coding | |
|---|---|---|
| How it works | You describe what you want; the tool generates code in response to your prompts. | Autonomous agents plan, execute, and iterate across multi-step workflows without waiting for your input at each step. |
| Human role | You drive every decision. The tool follows your lead. | You set the goal and review outputs. Agents handle planning, execution, and error recovery. |
| Scope | Single task: generate this component, fix this bug, build this page. | End-to-end workflows: discover a problem, design a product, generate code, prepare a launch. |
| Output | Code files, usually web-based prototypes. | Production apps, App Store metadata, marketing assets, and growth campaigns. |
Frequently asked questions
What is agentic coding?
Agentic coding is a paradigm where autonomous AI agents handle multi-step software tasks with minimal human intervention. Unlike copilot-style tools that wait for your next prompt, agentic systems decompose a goal into subtasks, execute them, handle errors, and iterate until the objective is met. The human role shifts from writing instructions to reviewing outputs and approving decisions at key checkpoints.
How is agentic coding different from using Copilot or ChatGPT?
Copilot and ChatGPT are reactive: they respond to a prompt and stop. Agentic systems are proactive: given a goal like "build a habit tracker app," they break it into discovery, architecture, code generation, and launch steps, then execute each one autonomously. The difference is between a tool that answers questions and a system that completes projects.
Is agentic coding safe? Do the agents make mistakes?
Agents make mistakes, just like human developers. The difference is how errors are handled. Goodspeed uses human gates at critical checkpoints: you review the architecture before code generation starts, and you approve the App Store listing before submission. Automated QA catches code-level issues. The system is designed so that no irreversible action happens without your approval.
How does Goodspeed use agentic architecture?
Goodspeed runs specialized agents for each lifecycle stage. Discovery agents scan 18 signal sources for validated problems. Architecture agents design the product in a two-pass process. Code generation agents build from a 246-feature template. Growth agents handle ASO, outreach, and social content. Each agent class has domain-specific knowledge and operates autonomously within its scope.
Can I still customize the code agents generate?
Yes. Every app gets pushed to your own GitHub repository as clean, well-structured TypeScript. The stack is open source: React Native, Expo, Supabase, RevenueCat. You can modify anything after generation, or hand the repo to a development team. Agentic generation does not mean black-box output.
Let agents handle the lifecycle
From validated idea to live App Store listing. Set the goal, review the output.