Start with the problem you recognize.
You do not need the right architecture vocabulary. Find the situation that sounds like yours, get a useful next step, and decide whether Driftbreak fits.
I have an idea, but I do not know what to build first
Work out the first useful outcome and the decisions that define the product before asking an agent to generate it.
I have an app idea. What should I give an AI coding agent before it builds?
Give the agent more than a feature list: define the first useful user outcome, the product rules that govern it, the important unknowns, and a complete first build boundary. Technical choices should support that direction, not silently invent it.
Read the guideArchitecture before vibe coding: how to build an AI app without drift
You do not need to know every framework before building with AI. You do need to settle the decisions a coding agent must not invent for you.
Read the guideApp architecture vs technical blueprint vs implementation plan: what do I need?
Architecture defines the system and its rules. The technical blueprint explains how those rules are implemented. The implementation plan orders complete outcomes and their verification. You need enough of each to build your actual product, not three large documents for their own sake.
Read the guideI already have an app and need a coherent next step
Continue from the working product. Establish what should survive and how the next meaningful milestone fits.
How to add a feature to an existing AI-built app without redesigning everything
Treat a feature request as a change to an existing system. State the new user outcome, inspect the boundaries it touches, name what must survive, and verify the old journey as well as the new one.
Read the guideHow to continue a messy Cursor or Claude Code project without starting over
The safest next move is rarely another feature. First separate what still carries product truth from what only carries implementation noise.
Read the guideMy AI-generated app looks finished. How do I tell if it is ready to launch?
A polished screen and a passing build are not launch evidence. Verify the complete promised journey in the deployed environment, including saved state, access control, interruptions, and the ability to recover when something fails.
Read the guideEvery fix seems to break something else
Separate a local defect from a shared ownership problem, and verify the complete behavior around the change.
AI keeps fixing one thing and breaking another: how to stop the loop
When each fix breaks something else, stop stacking patches. Reproduce one failure, identify the shared state or boundary involved, and require the repair to preserve the working journeys around it.
Read the guideWhen your AI-built app has three different sources of truth
Many ?random bugs? are really authority conflicts: the interface, the database, and the AI instructions each believe they own the same decision.
Read the guideHow to add a feature to an existing AI-built app without redesigning everything
Treat a feature request as a change to an existing system. State the new user outcome, inspect the boundaries it touches, name what must survive, and verify the old journey as well as the new one.
Read the guideIt works, but I no longer trust it
Find out whether the right response is a bounded repair, a selective rebuild, or a deliberate reset.
My AI-built app works, but I am afraid to change it. What now?
Do not start by rewriting a working app. First identify one important user journey, what currently owns its state, and what must remain true when it changes. Then make and verify one bounded change.
Read the guideShould I rewrite my AI-built app, refactor it, or keep building?
Do not choose a rewrite from the size of the mess alone. Identify what works, what owns important state, what users rely on, and whether a bounded repair can restore a complete journey. Rebuild only the boundary the evidence justifies.
Read the guideHow AI-built apps drift out of shape
AI-built apps rarely fail because one prompt was bad. They fail because product truth, code truth, and the build workflow split apart.
Read the guideThe coding agent keeps losing the product direction
Connect product decisions, architecture, and current implementation truth without creating a handoff for every small error.
My coding agent keeps forgetting decisions and rebuilding the wrong thing
A longer chat history is not a reliable product authority. Keep the governing product decisions, the current implementation state, and the next bounded outcome distinct, and make deliberate changes propagate between them.
Read the guideApp architecture vs technical blueprint vs implementation plan: what do I need?
Architecture defines the system and its rules. The technical blueprint explains how those rules are implemented. The implementation plan orders complete outcomes and their verification. You need enough of each to build your actual product, not three large documents for their own sake.
Read the guideWhy AI planning chats fail on real apps
A planning chat can sound smart while never forcing the decisions that keep a real app coherent.
Read the guideRead the evidence, not just the promise.
These approved cases distinguish the architecture delivered from implementation outcomes that have not been verified.
Terraria in Minecraft: From an Ambitious Roadmap to a Coherent Build Direction - Architecture and package delivered
How DeskSnap Recovered Its Product Architecture - Recovery completed · Package generated · Implementation underway
Watch Driftbreak or open a case. Start with your own words; you do not need to arrive with a finished specification.