Assemble

Assemble's core value proposition is narrow and honest: it attacks the fact that every AI coding assistant reads its own rules file and they drift the moment you edit one. The vendor lists the actual offenders — .cursorrules, .cursor/rules/*.mdc, CLAUDE.md, .claude/rules/*.md, .github/copilot-instructions.md, .gemini/settings.json, .windsurfrules, .aider.conf.yml, codex.md, .roo/rules/*.md, .tabnine/config.json — and then replaces them with a single .assemble.yaml containing team, agents, workflows and a platforms list. Running npx cohesiumai-assemble emits native files for all 21 targets. Because the output is static config rather than a running process, there is no daemon to keep alive, no server to pay for, and nothing to rip out if you leave — the README's empty dependencies block is the concrete proof. The second half of the product is a prompt-engineering argument. Rather than shipping long system prompts, Assemble maps roles onto Marvel characters (@tony-stark, @spider-man, @bruce-banner, @thor, @hawkeye, @punisher, @professor-x, @captain-america, @loki, @beast, @vision, @deadpool) on the vendor's claim that LLM weights encode Marvel's character graph more densely than LOTR or DC. Whether or not you buy the theory, the ergonomics are cheap and real: one @mention replaces a paragraph of behavioral instruction, and 15 workflows (/feature, /bugfix, /review, /sprint, /release, /security, /seo, /campaign plus seven more) give those personas something to do. For solo developers acting as architect, QA, PM and devops simultaneously, that structure is the point — the vendor's own anecdote is a client job quoted at two days that took ten days with generic AI and 30 minutes once a structured team was in place. The anti-groupthink layer is the most interesting engineering decision. @deadpool is permanently embedded in every workflow and challenges it whether you asked or not; @doctor-doom escalates irreversible decisions; when both flag RED the decision is blocked rather than averaged. That is a real mechanism, and it is rare — most multi-agent frameworks assume agents will naturally check each other, which they generally don't. Cohesium's published figure of a 65% reduction in hallucination-driven errors comes from the vendor, not a third party, so weight it accordingly. Where it fits: teams running three or more assistants who are tired of copy-pasting system prompts, solo devs and freelancers who want specialist-grade output without headcount, and anyone doing parallel implementation work who wants Kanban tracking. v1.1.0-beta.3 added Board Execution — a Kanban engine with a parallel ticket pipeline (implement → review → test → done), the _board.yaml format with WIP limits and dependency resolution, and a /board command to inspect, resume or re-prioritize. Phase 4 of COMPLEX workflows now runs through that board. YOLO mode runs every phase without stopping for validation, which is either exactly what you want for a large mechanical refactor or