0265ec7a60
- extract-patterns.js: mines layered arch, ArgoCD appsets, cloud regions, CIDR allocations, naming conventions, sync waves, tech stack from code - agent-kb.js: token-efficient JSON rendering of same doc tree - eval-confluence-ref-questions.json: 32 reference-only benchmark questions - wiggum-v2.sh: Ralph Wiggum loop targeting confluence baseline (77.8%) - docs/human-ux-spec.md: BMad UX designer spec for human doc structure - Eval results: V2 at 28.7% vs confluence 77.8% baseline - Hub/spoke ownership now correctly extracted (95% on that question) - Naming conventions, regions, CIDRs surfaced in system-architecture.md
2.7 KiB
Party Mode Review: Dev Intel V3 PRD
🎸 The Punk
Finally, someone gets it! Nuking 1500 lines of custom garbage to just use terraform-docs and a bash script is the most punk rock thing I've seen all week. Burn ratchet.js to the ground, we don't need a bloated JavaScript orchestrator to do a simple while-loop.
🧪 The Scientist
I appreciate the strict constraints—targeting a sub-10 minute execution time and a $1.00 cost per release provides highly testable metrics. However, asserting we'll maintain a 93% agent eval score while ripping out the custom evaluation logic in favor of promptfoo requires empirical validation we don't have yet. Show me the benchmark data comparing the two evaluators.
💀 The Skeptic
You're replacing a system that technically works with a "Ralph Wiggum" bash loop and hoping an OSS tool won't randomly break your pipeline. Relying on helm-docs while admitting it can't handle cross-chart analysis means you're just shifting the complexity to this magical "Glue Layer" that's going to become the new maintenance nightmare. I give it two weeks before the bash script is 500 lines long and unreadable.
🎪 The Hype Beast This is a game-changer! 🚀 By offloading the boring stuff to open source, we can focus all our energy on that sweet, sweet AI prose generation! A hybrid architecture that is fast, cheap, AND smart is exactly what's going to take Dev Intel to the moon! 🌕✨ We're basically building the ultimate AI brain for our infrastructure!
🔧 The Mechanic
Using off-the-shelf binaries is fine, but how exactly does this "minimal orchestration" feed terraform-docs output back into the prose.js graph builder? The PRD completely glosses over the actual data contract between the OSS tools and the custom tree-sitter extraction. It sounds nice on paper, but wiring that pipeline up in bash is going to be incredibly brittle when edge cases hit.
Panel Verdict
Top 3 Strengths:
- Massive reduction in custom code maintenance (2000 lines down to 500).
- Clear, measurable, and aggressive constraints (Under 10 mins, <= $1 cost).
- Embracing industry-standard OSS (
terraform-docs,helm-docs,promptfoo) instead of reinventing the wheel.
Top 3 Risks:
- The bash "Glue Layer" becoming a brittle, unmaintainable mess of pipes and regex.
- Loss of the nuanced context that the custom V2 extractors provided for cross-chart and cross-file graph edges.
- Assuming
promptfoowill perfectly replicate the customeval.jslogic and maintain the 93% score without regressions.
One thing we'd change:
Define the exact data contract/JSON interface between the OSS tool outputs and the remaining prose.js / graph builders, instead of hand-waving it as "minimal orchestration."
Final Score: 7.5/10