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🚀 DAY 3 — The Discovery Engine IntroIn Agentic Specification-Driven Development (ASDD), we don't just start prompting. W...
04/04/2026

🚀 DAY 3 — The Discovery Engine Intro
In Agentic Specification-Driven Development (ASDD), we don't just start prompting. We use the Discovery Engine—the structured entry point to the entire software lifecycle.
The Discovery Engine governs Phases -1 and 0, handling the critical work that must happen before a single line of architecture or code exists. Its job is to bridge the gap between human "vibes" and machine ex*****on by integrating two powerhouses:
🔹 Lean Inception: To align humans around a shared vision and MVP scope.
🔹 Domain-Driven Design (DDD): To build a ubiquitous language and seed the domain model.

📦 From Ambiguity to Artifacts
The Engine transforms a vague concept like "I want an app that does X" into machine-consumable artifacts that live in your .kiro/ folder:
intent.md — The primary driver for agent ex*****on.
domain-model.md — The structural seed for your AI team.

🔄 Not Just for Greenfield
Crucially, this isn't just for new products. The Discovery Engine is mode-driven, activating specific practices for:
✅ New Products ✅ Improvements ✅ Bug Fixes ✅ Refactoring
By prioritizing this structured discovery, we ensure humans remain aligned on value, while AI agents receive the precise, actionable requirements they need to build without drift.

Stop prompting. Start engineering. 🛠️

Full article: https://shorturl.at/36suC

DAY 2 — The Step Everyone SkipsBefore code. Before specs. There’s one question most teams don’t answer: 👉 Are we solving...
04/04/2026

DAY 2 — The Step Everyone Skips
Before code. Before specs. There’s one question most teams don’t answer: 👉 Are we solving the RIGHT problem?

Most failures don’t come from bad code. They come from:
Wrong assumptions Misaligned teams Undefined domain language
🔥 Insight: AI doesn’t fail because it’s weak. It fails because: 👉 We give it ambiguous inputs. To succeed, we must turn human "vibes" into structured, machine-interpretable definitions. Ambiguity is the real bug.

Tomorrow: 👉 Introducing the Discovery Engine.

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DAY 1 — The Illusion of SpeedAI made coding faster, but did it make the system better?Most teams today are stuck in a lo...
04/04/2026

DAY 1 — The Illusion of Speed
AI made coding faster, but did it make the system better?
Most teams today are stuck in a loop:
👉 Prompt ➔ Generate ➔ Review ➔ Iterate
It feels like 10x speed... until:
* Intent-to-Implementation Deviation: The AI drifts from the original goal.
* Architectural Decay: Small "vibey" changes break the long-term structure.
* Expertise Tax: You spend more time fixing hallucinations than you would have spent coding.
Spec-Driven Development (SDD) provides the map, but traditionally it’s too slow for the AI era. We need a way to combine the fluidity of the vibe with the rigor of the spec.

Tomorrow: The Discovery gap.

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