DEV Community: member_b03d2604

5 AI Prompts I Actually Use in Production (And Where to Get More)

member_b03d2604 — Sun, 29 Mar 2026 03:41:06 +0000

I've been collecting and refining AI prompts for the past year. Not the generic act-as-an-expert
stuff â€” I mean prompts that I use daily in real production work. Here are 5 of them, plus info on the full pack.

Why Most Prompts Are Garbage

The problem with most prompt lists is they're designed to impress in a screenshot, not to work reliably. A good prompt is:

Specific about format â€” tells the AI exactly how to structure output
Scoped â€” one job, not five
Handles edge cases â€” what should the AI do when it's unsure?

Here are 5 from my personal vault:

1. Code Review (Actually Useful)

Review this code for: (1) bugs, (2) security issues, (3) performance bottlenecks, (4) anything that would fail code review at a senior level. For each issue: quote the line, explain why it's a problem, give the fix. Skip compliments.

The 'skip compliments' line alone saves 40% of the output.

2. Debugging Unknown Errors

I have this error: [error message]. Context: [language/framework, what you were doing]. I already tried: [what you tried]. Give me 3 ranked hypotheses for the root cause. For each: confidence %, why you think it, exact steps to verify. Start with most likely.

Ranked hypotheses > here are some possibilities.

3. Architecture Decision

I need to [describe the system requirement]. Constraints: [list real constraints â€” budget, team size, existing stack]. Give me 3 architecture options. For each: overview, pros, cons, what type of team/project it's best for, estimated complexity (1-10). End with a recommendation and why.

4. Rewrite for Clarity

Rewrite this for a technical audience who are smart but unfamiliar with this specific domain. Keep all technical accuracy. Remove jargon where plain language works. Target: someone could read this once and explain it to a colleague.

5. Daily Standup Generator

Turn these rough notes into a standup update. Format: Yesterday / Today / Blockers. Keep it under 5 sentences total. Tone: direct, no fluff. Notes: [your rough notes]

The Full Pack

These 5 are from a set of 50 prompts I've compiled â€” covering code review, debugging, architecture, writing, product decisions, and more. Every prompt has been tested on real work, not demos.

Get the full 50-prompt pack â€” $19

If you only buy one productivity tool this year, make it something you'll actually use every day. These prompts are that.

How I Built a Prison Escape Game in One Week with Unity NavMesh

member_b03d2604 — Sun, 29 Mar 2026 03:41:00 +0000

I never planned on building a prison escape game. It started as a weekend project to mess around with Unity's NavMesh â€” but one week later I had a full stealth-survival alpha with reactive guard AI, a noise system, and an inventory. Here's how it happened.

The Idea

CLAWED puts you in the role of a prisoner trying to escape a maximum-security facility. Simple concept. But the moment I asked "what makes guards feel smart?", everything got complicated.

Building the Guard AI

The core of the game is a 4-state finite state machine for each guard:

Patrol â€” follows a waypoint path, checks line-of-sight every 0.3s
Suspicious â€” heard a noise or caught movement; turns toward source, plays alert animation
Chase â€” full sprint using NavMeshAgent, broadcasts alert to nearby guards via event
Attack â€” triggers caught sequence if player is in range

The hardest part wasn't the state transitions â€” it was making the AI feel believable. Guards would teleport-turn to face you. The fix: lerping rotation toward suspicion source over 0.8 seconds. That single change made them feel alive.

void UpdateSuspicion(Vector3 target) {
    suspicionTarget = target;
    Quaternion lookRot = Quaternion.LookRotation(target - transform.position);
    transform.rotation = Quaternion.Lerp(transform.rotation, lookRot, Time.deltaTime * 2f);
}

Noise + Visibility System

Two detection channels:

Visibility â€” raycast from guard eyes, player visibility scaled by distance + light level
Noise â€” physics overlap sphere triggered by player actions (running = radius 8, crouch-walk = radius 1, crawl = 0)

Each guard has a suspicion meter (0-100). Visibility adds ~30/sec at close range, noise adds a flat spike based on radius overlap. Hit 100 = Chase.

Inventory System

Kept it lean: 6 slots, item pickup via trigger zone, equip/unequip toggle. No drag-and-drop â€” keyboard slots only. Fast to build, fast to play.

Where It's At

CLAWED is in alpha right now â€” playable, rough around the edges, but the core loop works. You sneak, you get spotted, you run, you hide. There's a tension to it that surprised me.

If you want to try it (or tear apart my code), grab the alpha here:

Play CLAWED on itch.io â€” $10 alpha access

Week 2 plan: patrol routes editor, camera system, level 2. Following along if you want to see how it breaks.

I Launched My SaaS Product to 22 Different Audiences at Once Using HTML Templates

member_b03d2604 — Fri, 27 Mar 2026 16:28:09 +0000

Most indie founders write one landing page and hope it resonates. I tried something different: I built 22 versions of the same landing page, each tuned for a completely different audience and platform. Here is what I learned.

The Problem with One Landing Page

Your product is the same. Your audience is not.

A developer on Hacker News wants to know: does this solve a real technical problem, is it open source, what is the stack?

A founder on Product Hunt wants: beautiful design, social proof, clear pricing, one-click CTA.

A freelancer on Reddit wants: does this save me time, what is the ROI, can I try it free?

The same copy that wins on HN will bomb on Product Hunt. So I stopped trying to write one page that works everywhere.

The 22-Audience Strategy

I built a pack of 22 HTML landing page templates, each designed for a specific context:

Hacker News launch post — minimal, technical, no hype language
Product Hunt — visual, benefit-led, CTA above the fold
Reddit r/entrepreneur — story-driven, honest about limitations
LinkedIn — professional tone, ROI framing, case study format
Cold email landing — short, single action, trust signals only
AppSumo — lifetime deal framing, feature checklist, urgency
... and 16 more

Each template has the same core sections (headline, problem, solution, social proof, CTA) but different tone, emphasis, and structure for that platform.

How to Use This

Pick your product
List 5-10 channels where your audience lives
Match each channel to the appropriate template
Swap in your copy — each template has clearly labeled placeholder sections
Deploy to Netlify/Vercel/GitHub Pages in under 10 minutes per page

You now have a landing page optimized for each traffic source. When you post on HN, link to the HN version. When you run a LinkedIn ad, link to the LinkedIn version.

Does It Work?

The conversion lift depends on your product, but the logic is sound: message-to-market fit matters at the page level, not just the ad level. If someone clicks an ad that speaks their language and then lands on a generic page, you have already lost them.

Get the Templates

All 22 templates are plain HTML/CSS — no frameworks, no build step, just edit and deploy. They work with any hosting platform.

Browse all templates and products at the store

The FORGE Landing Pack is available separately on Gumroad if you want just the templates. Each one is production-ready and has been tested on real launches.

50 Claude & ChatGPT Prompts That Actually Work in Production (Free Sample + Full Pack)

member_b03d2604 — Fri, 27 Mar 2026 16:28:07 +0000

I've been collecting and refining AI prompts for the past year. Not the generic act-as-an-expert
stuff — I mean prompts that I use daily in real production work. Here are 5 of them, plus info on the full pack.