# Version-Controlled PM Work, Validation Before Scale, and Fintech Proof-of-Work *By PM Daily Digest • June 28, 2026* This brief centers on one operating shift: storing AI-era PM artifacts in version-controlled repos instead of scattered folders. It also pulls tactical lessons on validation, release documentation, fintech job hunting, and reusable PM skill libraries. ## Big Ideas - **Treat GitHub as PM infrastructure, not just a code tool.** Aakash Gupta’s framework is to version-control the PM artifacts that now shape AI-assisted work: personal `CLAUDE.md`, skills, autoresearch configs, eval criteria, `PLANNING.md`, and code [^1]. The structure is three repos: a private workspace, a shared-tools repo with stripped context, and one repo per initiative [^1]. **Why it matters:** this makes drift reversible, changes reviewable, and project history durable instead of scattered across folders and local files [^1][^2][^1]. **How to apply:** separate personal context, team assets, and project records rather than keeping everything in one workspace. ## Tactical Playbook 1. **Adopt the seven-step rhythm.** Pull, branch, edit, commit, push, PR, merge—using natural-language commands in Claude Code rather than memorizing git syntax [^1][^2]. **Why it matters:** it standardizes how PM artifacts change and adds review points when work is shared [^1]. **How to apply:** skip branches and PRs only for solo work in a private repo; use them for shared tools and team workflows [^1]. 2. **Use version control for four PM-specific jobs.** - Roll back a degraded skill or reviewer by checking out the previous hash [^2] - Prune `CLAUDE.md` regularly; the source warns that files over 200 lines cause Claude to deprioritize instructions [^2] - Treat `git log` as your autoresearch experiment record [^2] - Version evals so a score drop—like 0.82 to 0.71—can be traced to model regression versus changed criteria [^2] **Why it matters:** this turns AI workflow quality into something diagnosable rather than anecdotal. **How to apply:** commit after each meaningful change, and make commit messages specific enough to explain what changed and why [^1]. 3. **Do security work before the first push.** Use `.gitignore`, run a secret scan, and exclude API keys, `.env` files, customer data, internal docs, HR feedback, raw Slack exports, and sensitive screenshots [^1]. > "A private repo is not a privacy strategy." [^1] ## Case Studies & Lessons - **Validation still comes before scale.** One PM described two Australian startups with functional MVPs and $0 revenue: an employee cognition platform with 13 staff averaging about 110k AUD, and a consumer cashback app with about 15 full-time employees [^3]. The reported common issue was weak product validation, combined with founders removed from day-to-day operations [^3]. **Why it matters:** funding and team size can make unvalidated bets more expensive, not safer [^3]. **How to apply:** validate continuously before expanding team or burn. - **Documentation needs an audience, not total coverage.** In a release-doc discussion, commenters warned that documents meant for "everyone" and "everything" usually fail because the purpose and reader are not defined [^4][^5]. > "A document like this that tries to serve everyone ends up serving no one." [^6] **Why it matters:** unclear audience is often a sign the team has not defined what the document should actually do [^5]. **How to apply:** write launch docs against one job—decision, alignment, readiness, or reference—then scope content to that job. ## Career Corner - **Break into fintech PM with one end-to-end proof piece.** One practical recommendation: build a real fintech-ish side project and use that story in every interview [^7]. **Why it matters:** it gives you concrete evidence of product thinking, execution, and domain interest when your resume title does not yet do that. **How to apply:** be ready to explain the problem, target user, product choices, trade-offs, and what you learned. - **Local compensation benchmarking can be noisy.** One Chandigarh Tricity PM reported earning 25 LPA with 8 years of experience and said some small or mid-sized B2B SaaS firms are offering below online benchmarks of 35+ LPA [^8]. **Why it matters:** broad market ranges may not match local offers. **How to apply:** gather location- and role-specific datapoints before negotiating. ## Tools & Resources - Examples of shareable PM skill repos mentioned in the source: [gstack](https://github.com/garrytan/gstack), with 23 specialist skills; [pm-skills](https://github.com/phuryn/pm-skills), with 100+ skills across 8 plugins; and [claude-code-pm-course](https://github.com/carlvellotti/claude-code-pm-course), an interactive Claude Code course [^1]. The same post also points to a [PM `.gitignore` template](https://drive.google.com/file/d/1AS0Z4YM3WngsWrTlg31TG8X_Jq7XvGEZ/view?usp=sharing) for keeping secrets out of GitHub [^1]. **Why it matters:** these are concrete examples of what a shared-tools repo can look like. **How to apply:** borrow structure and reuse patterns, but strip personal and company-specific context from anything you publish [^1]. --- ### Sources [^1]: [GitHub for PMs: Version Control for Everything You Build With AI](https://www.news.aakashg.com/p/github-for-pms) [^2]: [substack](https://substack.com/@aakashgupta/note/c-283912528) [^3]: [r/ProductMgmt post by u/Impossible_Banana649](https://www.reddit.com/r/ProductMgmt/comments/1ugwu86/) [^4]: [r/ProductManagement comment by u/SmartName_](https://www.reddit.com/r/ProductManagement/comments/1uhbm67/comment/ou6q0uz/) [^5]: [r/ProductManagement comment by u/Particular-Fennel-67](https://www.reddit.com/r/ProductManagement/comments/1uhbm67/comment/ou6q5pf/) [^6]: [r/ProductManagement comment by u/steakinapan](https://www.reddit.com/r/ProductManagement/comments/1uhbm67/comment/ou6my1r/) [^7]: [r/prodmgmt comment by u/Ok-Wedding8049](https://www.reddit.com/r/prodmgmt/comments/1uhnfzp/comment/ou9huuc/) [^8]: [r/ProductManagementJobs post by u/Old_Set8146](https://www.reddit.com/r/ProductManagementJobs/comments/1uh97m0/)