bmadone/senior-software-engineer: a Markdown reading list for senior interview prep

What bmadone/senior-software-engineer actually is

Strip away the framing and this repository is fifteen Markdown files plus a README and a GIF. The README lists the topics as links: programming-paradigms.md, communication-protocols.md, performance.md, architecture.md, patterns.md, code-quality.md, ci-cd.md, sdlc.md, estimations.md, security.md, soft-skills.md, algorithms.md, behavioral-interview.md, ai.md and blogs-and-influencers.md. The top-level directory listing matches that list exactly, so there is no hidden tooling, no generator and no site build. That matters for how you use it. You clone it, you read it, you follow the links inside it.

The stated audience is narrow and explicit. The README says it is "Resources to prepare for senior-level software engineering interviews, internal assessments, and staff-level promotions." That is three different situations with three different shapes. An external interview loop rewards recall and structured explanation under time pressure. An internal assessment rewards knowing your own organisation's systems. A promotion packet rewards evidence of scope and influence. One set of topic files can support all three, but it cannot be optimised for all three at once, and the README does not say which it prioritises.

If you are looking for a definition of the role, the README does offer one. Under the heading "What defines a senior engineer when AI exists?" it lists judgment, taste, problem framing, system thinking, communication and critical review, and argues that code generation tools raise the bar rather than lower it. That is a position, not a syllabus, and it is the closest thing in the repository to a thesis.

The AI section and the three-year revision claim

The README states that the guide was originally created in 2022 and describes what changed since. The listed changes are specific enough to check against your own experience: GitHub Actions replacing Jenkins as the default, GitOps tools such as ArgoCD and Flux standardising declarative deployments, SLSA, SBOM and Sigstore appearing after supply chain attacks, platform engineering as a named discipline, DORA metrics and the SPACE framework as measurement approaches, prompt injection and the OWASP LLM Top 10 as security topics, HTTP/3, gRPC and tRPC maturing alongside GraphQL and SSE, INP replacing FID as a Core Web Vital in 2024, and a body of staff-level literature.

Some of those are claims about the industry rather than about the repository, and the README does not cite sources for them. Treat the list as the maintainer's reading of the last few years, useful for deciding which topic files to open first, not as a survey you can quote. The one item that is verifiable from the repository itself is the existence of ai.md, which the README introduces as covering "the foundations, tooling, and architecture patterns" for AI and LLMs.

The framing question in that section is the most opinionated writing in the README. It asserts that AI tools raise the bar for seniority. Whether you agree or not, it changes what the repository is for: not memorising definitions, but being able to defend a decision when a model can produce a plausible alternative in seconds. If your interview prep is currently a list of terms to recite, this framing is the part worth arguing with.

Getting the files and reading the first topic

There is nothing to install. The repository has no package manifest, no build step and no releases, so the only setup is getting the files onto your machine. The README gives no installation instructions, and the repository layout confirms why: every entry is a Markdown file or an image. The README does not say where to obtain the repository, so the practical route is the project's GitHub page under the bmadone organisation, and the default branch is master.

Once you have the files locally, the README's topic list is the table of contents. Open the files in the order that matches your weakest area rather than the order they are listed. If you write application code all day, the infrastructure and process files are where an interview is most likely to expose a gap, so start with ci-cd.md, sdlc.md and security.md.

What you see in those files determines whether the repository is worth your evening. If they are annotated link lists, you are being handed a reading queue. If they are prose explanations, you are being handed notes. The README does not describe the internal format of any topic file, so check before assuming either. The same caution applies to behavioral-interview.md and algorithms.md, where the README gives a title and nothing about the contents.

The limitation: no exercises, no answers, no licence file

The repository is a reading list, and reading lists have a specific failure mode. They feel like progress while you are collecting them and produce nothing you can demonstrate. Nothing in the repository layout suggests practice problems, mock interview scripts, answer keys or scoring rubrics. The behavioral-interview.md and algorithms.md files exist, but the README does not say whether they contain prompts, worked answers, or pointers to external material. If you need to rehearse out loud under time pressure, this repository does not appear to provide the rehearsal.

The second limitation is licensing. The top-level entries are README.md, the fifteen topic files, and developers.gif. There is no LICENSE file among them. The repository metadata also does not declare a licence. That is a real constraint if you want to reuse the content in internal training material, fork it into a company wiki, or bundle it into a paid course. Absence of a licence file means the default position applies, and the safe move is to ask the maintainer rather than assume permission.

The third limitation is maintenance shape. The last push to the default branch was on 2026-05-09. There are no releases. That combination is normal for a notes repository and it means there is no changelog to read and no version to pin. If a topic file is thin or stale, you find out by opening it, not by reading release notes, because the README does not document a review cadence for individual topics.

How it compares to a structured interview course

The obvious alternative is a structured course with a curriculum, exercises and feedback, or a question bank organised by company and level. The difference in approach is not quality, it is the unit of work. A course hands you a sequence and expects you to finish it. This repository hands you an index and expects you to choose. That makes it cheaper to start and easier to abandon halfway, which is both the appeal and the risk.

A second alternative is the staff-level literature the README itself names: Staff Engineer, The Staff Engineer's Path and An Elegant Puzzle. Those are book-length arguments about scope, influence and organisational navigation, written to be read end to end. The repository's soft-skills.md and blogs-and-influencers.md files cover adjacent ground at index level. If your goal is a promotion packet rather than an interview loop, the books will do more for you than a topic file that points at them.

A third comparison is your own notes. The repository is useful precisely because someone else already grouped the topics. But if you cannot tell from the README whether a given file is an outline or an explanation, the value of that grouping depends entirely on how much work the maintainer put into each file, and the README does not say.

Maintenance, licence and what to check before relying on it

The repository is not archived. The last push was on 2026-05-09, which is the only maintenance signal available here, and no releases have been published. For a Markdown collection that is a reasonable pattern: the content changes in place, the default branch is master, and there is no artefact to upgrade. Your cost is re-reading files when they change, not migrating between versions.

That also means there is no upgrade path to plan for, and no deprecation notices to track. If you fork the repository to keep your own version, you take on the merge work yourself, and you inherit the licence question at the same time. Because no LICENSE file appears in the top-level entries, the terms under which you may redistribute or reuse the text are unclear from the repository alone. This is not legal advice; it is a reason to ask before you put the content in a company handbook or a paid product.

The practical check is small. Open the topic files you intend to use, confirm they contain what you need, and note whether they are outlines pointing elsewhere or self-contained explanations. Then decide whether to fork, quote, or just read.

Editorial conclusion

Use it if you already know the topics and want one index that points at paradigms, protocols, performance, architecture, patterns, code quality, CI/CD, SDLC, estimations, security, soft skills, algorithms, behavioural interviews and AI, and you accept that you will supply the depth yourself. Do not adopt it if you need graded exercises, answer keys, or a maintained question bank, because the repository ships no releases and no test or exercise scaffolding. Before you rely on it, open the topic files that matter to you and check whether they are outlines or finished writing, and confirm the licence situation with the repository owner, since no LICENSE file appears in the top-level entries.

Frequently asked questions

Official sources

1. bmadone/senior-software-engineer on GitHub
2. Issues
3. README