Files
bot-bottle/docs/research
didericis d2081839c9 docs(research): add forge-native orchestration as the delivery vehicle
Fold in the forge-native angle: the git forge (GitHub/GitLab/Gitea) as
the orchestrator, with bot-bottle as the safe runtime it launches into.
Same moat (custody + audit + policy), better vehicle — the forge supplies
identity, state, triggers, review, audit, and permissions for free, and
lands the product where teams already live.

Adds: the crowding map (generic 50-100+ vs forge-native ~10-30 vs
self-hostable-least-priv-audited single digits); the GitHub/GitLab
first-party trap and why to lead Gitea + sovereignty buyers; the
buyer reconciliation (self-hosted-forge compliance orgs); a moat-vs-cost
split of the "hard parts"; run-provenance-on-every-PR as the killer
feature; the `@bot-bottle fix this` MVP riding the headless primitive;
and two forge-specific risks. Sources for the forge landscape noted as
conversation-provided, not independently re-verified.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NkwFXLFff9PYPy4wgVBJp9
2026-06-29 12:02:23 -04:00
..
2026-05-07 22:45:36 -04:00

Research notes

Investigations into a question or a design space — landscape surveys, tradeoff analyses, "should we do X or Y," assessments of an approach before (or instead of) committing it to a PRD. A research note is where the thinking lives; a PRD is where a decided feature lives, and a decision record is where a settled choice lives (see ../README.md for picking between them).

Notes are opinionated. They reach a conclusion rather than dumping a neutral survey — the point is to move a decision forward and leave a durable record of why it went the way it did.

Naming

kebab-case-topic.md, named by subject and not numbered (unlike PRDs and decision records). Pick a name that says what was investigated: bash-vs-python-vs-go.md, pipelock-assessment.md, issue-tracking-vs-in-repo-decision-history.md.

Shape (freeform)

There's no fixed template — use whatever structure fits the question. In practice most notes share a loose shape:

  • Open with the question — a sentence or two on what's being investigated and why it came up.
  • Lead with the verdict — a ## Summary near the top stating the conclusion, so a reader gets the answer without reading the whole thing.
  • Then the analysis — whatever the argument needs: comparison tables, per-option sections, failure-mode walkthroughs, the axes that actually matter.
  • End with a recommendation when the note exists to drive a decision.

Keep the reasoning self-contained and grounded: cite sources, link files and PRDs, and prefer concrete evidence from this repo over generic claims — a note should stand on its own without a chat log or a Gitea thread. When a note's recommendation gets acted on, capture the resulting decision in a PRD or a decision record; the note stays as the "why we looked into it," not the system of record for the choice.