I've been working on a Claude Code skill called Loki Mode that orchestrates 37 specialized AI agents to take a product requirements document and autonomously build, deploy, and operate a complete product.

**What it does:**

You say "Loki Mode" and provide a PRD. The system:

- Researches competitors via web search

- Selects tech stack with self-reflection checkpoints

- Implements code with TDD

- Runs 3 parallel code reviewers (code quality, business logic, security)

- Deploys to AWS/GCP/Azure/Vercel

- Sets up Stripe billing, legal docs, landing pages

- Monitors and self-heals

**Agent breakdown (37 total):**

- Engineering (8): frontend, backend, database, mobile, API, QA, perf, infra

- Operations (8): devops, SRE, security, monitoring, incident, release, cost, compliance

- Business (8): marketing, sales, finance, legal, support, HR, investor, partnerships

- Data (3): ML, data eng, analytics

- Product (3): PM, design, tech writer

- Growth (4): growth hacker, community, success, lifecycle

- Review (3): code, business, security reviewers

**Key features:**

- Parallel 3-reviewer code review with severity-based triage

- Circuit breakers and dead letter queues for reliability

- State persistence for rate limit recovery

- Anti-hallucination protocol (verify everything, assume nothing)

Requires `claude --dangerously-skip-permissions`

Open source, MIT licensed: https://github.com/asklokesh/claudeskill-loki-mode

Would love feedback. What's missing? What would break first?

Full disclosure: I built this. Not selling anything, just sharing.

Hi all,

Big Claude user - really like it switched from ChatGPT a few months ago and haven't looked back. Currently running a very small early stage edtech startup.

We basically just use GitHub Copilot and Claude/ChatGPT (depending on dev preference) to boost our productivity. Our app's stack is pretty typical: React/TS/Redux-Toolkit + Firestore for db and authentication. Our landing page is built with Jekyll and we use Phaser.js a game enginer for javascript (which all LLM's struggle with because it is quite niche I think).

One thing I've found suprisingly helpful from copilot's autocomplete is its help in our curriculum docs which are all json files. So we might be looking at word meanings and it is actually pretty good at suggesting definitions and adding additional words etc. same thing for breaking down word spellings etc. so not even code stuff but a huge productivity boost.

Anyway, I'm interested in boosting my productivity further and wondering if Cursor is worth it, I was also looking at Zed (and Maven, but look's like Cursor acquired them?).

Looking for advice and impressions outside of the hype loop!

Thanks!

I am building an Open-source alternative to Perplexity and need some credits to start rolling out Claude. Got a ton of credits from OpenAI but none from anyone else.

So anyone can help me with that?