Coding agents can implement. Humans still decide what matters, what an agent can do, and when evidence is strong enough.
Challenge the product, set boundaries and decide what deserves to exist. Prompt volume does not replace judgment.
Inspect repositories, propose UI, implement slices, refactor and write tests. Work within a documented contract.
Contracts, negative tests, browser smokes and production checks determine whether the work is actually ready.
A beginner can follow the sequence. An experienced engineer can challenge every boundary. Both should learn something from what failed along the way.
Six revisitable stages distilled from ShoStack. Choose a stage to inspect who acts, what a coding agent can do, what a person must decide and what counts as proof. The artifact previews are deliberately synthetic.
Don't start with “build me an app.” Start with the job someone needs done.
Name the user, current workaround, constraints and what a better outcome means.
Inspect evidence, question assumptions and separate known facts from proposed guesses.
A concrete user journey, a small testable outcome and an honest list of unknowns.
A gorgeous AI mockup can create false confidence before anybody knows whether the product deserves to exist.
Describe one frustrating task in everyday language. Ask the agent what it still doesn't understand.
These six views summarize a broader iterative method, not six compulsory waterfall steps. Read the discovery rites and the engineering delivery loop.
These are disclosure-safe patterns from actual engineering work and explicit architecture challenges—not invented success statistics. The useful part of a mistake is the rule that stops it happening twice.
A successful deployment message did not mean a preview had an active URL. We learned to separate build, publication and reachability.
NEW GATE / TEST THE ACTUAL ROUTE Read the field noteA browser action worked locally but failed in production. Dependency versions alone were not sufficient evidence of parity.
NEW GATE / REPRODUCE IN THE REAL ENVIRONMENT Read the field noteFrontend and backend agents can drift apart when API contracts are assumed rather than owned, shared and smoke-tested.
NEW GATE / ONE CANONICAL API CONTRACT Read the field noteDuplicate-key interruptions during data movement reinforce why counts, repeatable retries and recovery checks matter.
NEW GATE / RECONCILE BEFORE CUTOVER Read the field noteNot every problem is solved by a better prompt. Often the answer is a stronger contract, a smaller task, or a smoke test nobody thought to run.
Explore the engineering field notesThe learning path changes with your experience. The engineering standards don't.
You don't need to know Laravel or React before asking useful questions. Learn how to clarify a job, request one working slice and demand proof instead of trusting confident answers.
LLMs don't remove architecture. They multiply the cost of an unclear contract. Explore how to make agent work observable, reversible and compatible across codebases.
The future licensed kits will be maintained products: versioned instructions, optional modules, implementation checklists and verification evidence. The public methods remain open.
ShoStack on 9order explains the approach behind contracts, coding-agent responsibility, verification and controlled delivery. Read the public source on GitHub.
The builder combines a product type, selected capabilities and implementation preferences into a free, reusable project brief.
The paid packs are planned to contain deeper executable prompts, contract templates, agent instructions and test gates, with versioned releases and compatibility notes.
This is a public preview, not an order page. No prices, payment collection, entitlement, licensed download or ongoing update access are active yet. Visit the open AI Field Guide to learn more about the engineering method.