About ShipGlows
The product was not shaped around a generic ambition to “add AI to development.” It was shaped around a repeated operational pain: founders and builders lose context, agent handoffs get weak, and the work drifts between product intent, docs, code, and runtime changes.
Who It Is For
ShipGlows is built for people who already ship real products and want a clearer, more reliable way to work with agents without turning every thread into another context rebuild. The primary copy stays centered on solo founders, but small teams should still recognize that the framework is usable for them.
What It Solves
The product reduces ambiguity before coding, strengthens handoffs through explicit contracts, and keeps verification closer to the actual promise of the work.
What It Is
ShipGlows helps you launch, publish, and maintain apps, websites, and software on servers. But it also gives agents a stronger execution frame through routing, context, contracts, verification, and documentation discipline. The point is to keep both sides coherent in one operating model.
Not another coding assistant. Not just a PM2 server script with a few helpers. Not a bundle of prompts. Not a general-purpose PaaS or platform manager.
ShipGlows treats business, product, GTM, brand, architecture, and technical guidelines as decision contracts because those decisions shape what agents build, verify, and claim publicly.
ShipGlows does not optimize for language elegance in a vacuum. For a small tool like the metadata linter, Python standard library only is the right compromise because Python is more likely to already be present across dev machines, CI, and Linux servers than Ruby.
The same rule applies everywhere else: choose the mechanism that reduces friction on the real path to shipping. That is more aligned with ShipGlows than choosing a “nicer” abstraction that adds runtime cost for founders and operators.
The same discipline applies to task tracking. A master tracker, a project section in that master, and a local `TASKS.md` file are not the same object. ShipGlows keeps those levels distinct so active backlog stays clean and historical context stays useful without contaminating current execution.
A direct fix should not disappear into chat memory. When `sf-fix` changes real behavior, ShipGlows expects a `BUG-ID`, a compact index pointer, and a detailed bug dossier so the next agent can see the diagnosis, fix attempt, and retest state.
Use simple fast tags like #offer,
#clarity, and #shipglows when you want to
recenter the work quickly instead of typing a new long prompt.
Next Step
Read how ShipGlows routes agents, structures context, and turns fuzzy requests into explicit contracts before you judge the tool by its CLI surface alone.