This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Drop markdown files into your IDE workspace and your AI coding agent gains structured expertise — it knows what to ask, what to produce, and when to hand off to the next stage. No plugins. No APIs. No vendor lock-in. Just professional process knowledge, packaged so an AI assistant can execute it with human oversight at every gate.
**The problem it solves:**
AI coding agents are powerful but directionless. They write code fast but skip architecture, ignore governance, produce no test strategy, and deliver nothing a team can actually ship with confidence.
AIPDLC gives them structure — the same stage-gate discipline a senior engineering org would follow, delivered as injectable files.
**How it works:**
11 packages chain across two layers:
- **Portfolio Layer** — AI-ILC (idea evaluation) → AI-PILC (project initiation) → AI-PPM (portfolio governance)
- **Project Layer** — AI-POLC (product ownership) → AI-UXD (UX design) → AI-ADLC (architecture) → AI-DWG (workspace generation) → build
- **Continuous** — AI-GCE (compliance) + AI-TGE (test accountability) run alongside
Each package makes the agent adopt a professional role (PMO advisor, CTO, DevOps engineer, QA lead) and produce real deliverables with approval gates at every stage.
**Key facts:**
- Works with Cursor, Claude Code, Kiro, Amazon Q, Cline, GitHub Copilot
- Each package works standalone OR chained
- Human-in-the-loop — you approve every gate
- Apache 2.0 licensed, free to use
- Install in 60 seconds
**One-command install:**
```
npx skills add mbmd/AIPDLC
AIPDLC was submitted on Product Hunt and earned 8 upvotes and 5 comments, placing #157 on the daily leaderboard. Drop markdown files into your IDE workspace and your AI coding agent gains structured expertise — it knows what to ask, what to produce, and when to hand off to the next stage. No plugins. No APIs. No vendor lock-in. Just professional process knowledge, packaged so an AI assistant can execute it with human oversight at every gate.
On the analytics side, AIPDLC competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how AIPDLC performed against the three products that launched closest to it on the same day.
Who hunted AIPDLC?
AIPDLC was hunted by AIFLC. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AIPDLC including community comment highlights and product details, visit the product overview.
AIFLC