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Really interesting workflow, Addy! Two questions about your approach: 1. *Spec → Implementation process:* How do you ensure Claude actually completes everythin
by sciences44 9mo ago
Really interesting workflow, Addy! Two questions about your approach:
1. *Spec → Implementation process:* How do you ensure Claude actually completes everything in the spec and finds the optimal path? Do you:
- Document every step in extreme detail upfront (spec as single source of truth)?
- Use an agentic framework that lets Claude self-guide through implementation?
- Iteratively validate each step with human checkpoints?
2. *Tool comparison:* Have you experimented with GitHub Copilot vs Claude Code vs Cursor? What made you settle on your current stack?
I'm working on multi-step AI pipelines (3D mesh generation with validation stages), and I find that LLMs often skip edge cases or take suboptimal paths when given too much autonomy.
Curious if you've built any scaffolding/guardrails to keep the LLM on track, or if your spec writing has evolved to be more "agent-friendly"?
The balance between human specification vs. agent autonomy seems like the key challenge going into 2026 especially to allow code in production from agents.