Product Decisions This Supports
- Standardizing AI-assisted development. Junie (JetBrains' AI coding agent) reads project guideline documents to decide how to write code. This package installs a curated, Laravel-specific set of those guidelines. The product decision it supports is: do we let each developer prompt the agent however they like, or do we ship a shared, version-controlled definition of "how we write Laravel here"? This package is the cheapest way to test the second answer.
- Roadmap input for AI tooling investment. Adopting it is a low-cost probe into whether the team's AI agent produces meaningfully better output when given explicit conventions. The result — cleaner diffs, fewer "that's not how we do it here" review comments — is a concrete data point for whether to invest further in agent configuration (rules files, MCP servers, custom linting for AI output) or to deprioritize the whole track.
- Build vs. buy (really: seed vs. author). The alternative is writing your own guidelines document from scratch. This package is not a runtime dependency you buy into; it's starter content. The decision is whether curating that content in-house is worth a few days of a senior engineer's time versus adopting someone else's baseline and editing it. For most teams under ~10 Laravel services, adopting and forking wins.
- Onboarding and consistency across a portfolio. If the organization runs several Laravel applications, a shared baseline guideline set makes AI-generated code look similar across repos, which reduces context-switching in review and makes cross-team contribution cheaper. This is a small but real lever on engineering consistency.
- Evaluating the AI toolchain, not just the package. Because it is Junie-specific, adopting it is implicitly a statement about IDE/agent standardization. It belongs in the same decision record as "which IDE licenses do we buy" and "which agent do we standardize on" — not in a vacuum.
When to Consider This Package
Consider it when:
- The team is already on JetBrains IDEs and has adopted or is piloting Junie. Outside that context the package delivers nothing — it installs Junie guideline files, not Laravel scaffolding.
- You maintain more than one Laravel codebase and want a consistent starting point rather than each repo inventing its own conventions file.
- You want a reference implementation of what good agent guidelines look like for a Laravel project — useful even if you rewrite most of it, because a blank page is the expensive part.
- You can treat the output as a one-time seed: install, publish, commit the generated files into the repo, and pin or remove the package afterward.
- You are comfortable with a dev-only dependency with a single maintainer and 38 stars — acceptable precisely because the artifact is copied out of the package and the package is not load-bearing.
Look elsewhere when:
- You are not using Junie. Cursor, Copilot, Claude Code, and similar tools each have their own rules conventions. Using this package as a generic "AI guidelines" solution is a category error; find the equivalent for your agent.
- You have a single Laravel project. Just write the file. The coordination benefit that justifies a package does not exist at n=1.
- License is unresolved.
NOASSERTION means the repository does not declare a recognized license. Anything distributed, embedded in a commercial product, or copied into a client deliverable needs legal review first. For internal use the risk is low; for redistribution it is a blocker until clarified.
- You need enforcement rather than advice. These are prose guidelines the agent may or may not follow. If your actual problem is "AI writes code that violates our standards," the durable answer is automated gates — Larastan/PHPStan, Pint, Pest coverage thresholds, architecture tests. Guidelines complement CI; they do not replace it.
- You need maintenance guarantees. Bus factor is one. Do not build a process that breaks if the package is abandoned — vendor the generated files into your own repo so the dependency is disposable.
- Your conventions are non-standard or highly domain-specific. A general Laravel baseline will be wrong in the places that matter most to you; budget for editing, or skip straight to authoring.
How to Pitch It (Stakeholders)
For executives — one paragraph:
Our engineers are increasingly using AI coding agents, and those agents produce better, more reviewable code when they are given explicit project conventions. This package installs a pre-written, Laravel-specific conventions document for JetBrains' Junie agent. The proposal is a low-cost, fully reversible pilot on one or two repositories: install it as a development-only dependency, commit the generated guidelines into the repo, and measure whether AI-assisted pull requests get cleaner. Cost is measured in hours, not budget; there is no vendor contract, no runtime dependency, and no lock-in — if it does not help, we delete a file. The main caveat is that the package is small, single-maintainer, and has an unclear license, which is exactly why we copy the content into our own repository instead of depending on it.
For engineering leadership:
It is a content package, not infrastructure. It gives us a defensible baseline for how we want an AI agent to write Laravel — naming, structure, testing expectations, framework idioms — and it saves the blank-page problem. Treat the output as a fork point: review it, adjust it to our standards, own it in-repo, and stop tracking upstream. Value comes from the artifact, not the dependency.
For the engineering team:
Run the install command, publish the guidelines, read them critically, and commit the result. Then instrument the pilot: track review comments per AI-assisted PR, rework rate, and how often the agent violates a documented convention. Expect guidelines to help at the margin and to be insufficient on their own — pair them with static analysis so the rules that actually matter are enforced by CI rather than requested in prose. If the package is abandoned or the license stays unclear, we lose nothing: the files are already ours.