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When developing your own proxy solution, comprehensive notes are indispensable — not just for your future self but also for anyone else who might need to understand, maintain, or extend the system. First, define the core objective of your proxy. Describe your motivation, which issue it addresses, and what kind of traffic it handles. This context helps future readers quickly grasp the intent behind the design.

Next, document the architecture. Break down every element — including code modules, ini files, virtual machines, or cloud endpoints — and their interdependencies. Include diagrams if possible, even simple hand drawn ones photographed and included as image files. Clearly mark entry points, exit points, and data paths. Never rely on code to speak for itself, because code changes over time, but good documentation stays relevant.

Record all third-party tools and their specified versions. If you’re using Python libraries, Node modules, or system packages, write them down with exact versions. Detail the installation process from scratch. Specify all runtime parameters and config files, and offer concrete values annotated with their purpose and impact.

Record how to start, stop, and restart the proxy. Provide the exact terminal instructions, required permissions, and frequent errors such as binding failures or TLS mismatches. If logging is enabled, detail the log directory, and how severity tiers are defined. Include examples of typical log entries and what they indicate about system health.

Security is critical. Document any authentication mechanisms, whether you’re using username. Note how secrets are stored — stored in.env, wrapped in Vault, or buried in source?. When proxies forward to external endpoints, specify them and their data handling policies. Restrict high-risk interfaces to private subnets only.

Include troubleshooting tips. Compile a gallery of past bugs and fixes. Such as: when clients send invalid User-Agent strings, the server segfaults — check for null headers in the parser, then add input sanitization — this cuts down on frantic Google searches.

Make documentation a living artifact. Embed it in your pull request checklist — revise it alongside each commit, PR, or deployment. Track changes in Git alongside source files so changes are tracked alongside the code. Even if no one else has touched it yet, your future self will be grateful for the detail.