DEV Community: Muhammed Amar

If You Use GitHub Copilot or Cursor, You Need to See What You're Really Paying Per Sprint

Muhammed Amar — Wed, 01 Jul 2026 08:02:29 +0000

If you are a solo dev or an engineering lead in 2026, there is a good chance your team is already using AI-assisted coding tools like GitHub Copilot, Cursor, or similar OpenAI-powered assistants. They feel free or cheap inside the IDE, but they are not.

The hidden cost problem

Every AI-generated autocomplete, inline chat, and code suggestion costs money in the background. The problem is that most developers never get a clean breakdown of:

How many tokens their team used in a sprint.
How much each developer is generating.
Whether budgets are on track or quietly growing out of control.

Without that data, AI spend is treated like a vague overhead line while everything else—cloud infra, licenses, headcount—is carefully tracked.

A practical fix

Instead of waiting for your company to build internal dashboards, a simple tracker can give you visibility immediately. The right tool should show:

Real-time token usage across your coding tools.
Per-developer and per-project cost breakdowns.
Exportable reports you can paste into your budget review.

That is exactly what the AI Coding Cost Tracker does for Copilot, Cursor, and similar tools.

For a one-time cost of £5, it turns an opaque monthly bill into something you can actually explain and control. For teams on a budget, and indie hackers who need to justify every pound spent, that clarity is useful immediately.

Takeaways

Track token usage before it becomes a surprise invoice.
Use a one-time tracker rather than another subscription if possible.
Export reports so AI spend is visible in sprint reviews.

If you have already outgrown guessing your AI coding cost, see it here:

AI Coding Cost Tracker

How I Run 14 AI Products Solo With $0/Month Hosting

Muhammed Amar — Wed, 01 Jul 2026 06:12:58 +0000

A behind-the-scenes look at how I built and run 14 AI products as a solo developer at virtually zero cost.

Tech Stack:

Cloudflare Pages (free tier) — static hosting for all landing pages
Stripe — payment processing (pay-as-you-go fees only)
Hermes Agent — cron jobs for competitor monitoring, lead scouting, automated intel

Daily Automation (all free):

7:00 AM — Competitor intel brief generated
11:00 AM — AI money alerts
1:00 PM — Lead scouting
8:00 PM — Subscriber alerts

What I would do differently:

Start with 3 products instead of 10 (spread too thin initially)
Build the email list before the products
Launch one at a time instead of all at once

All at theaisuite.pages.dev if you want to see the full setup.

🔗 theaisuite.pages.dev — 10 AI products, all with Stripe checkout.

Your AI Coding Assistant Is Leaking Money. Here's How to Fix It.

Muhammed Amar — Tue, 30 Jun 2026 08:03:11 +0000

If you're using GitHub Copilot, Cursor, or any OpenAI-powered coding assistant, you're probably underestimating your spend. A lot.

The hidden cost of AI coding tools

AI coding assistants are fantastic. They write boilerplate, suggest refactors, and catch bugs. But they also make it all too easy to burn through tokens without tracking the bill. Without visibility, you're basically flying blind: one developer can accidentally rack up hundreds or thousands of dollars a month without anyone noticing until the invoice arrives.

Why token tracking matters now

The pricing models for AI coding tools are almost always based on token usage. Every suggestion, every autocomplete, every generated function costs something. Multiply that across a team of developers, sprints, and projects, and small inefficiencies become expensive very quickly.

Most teams have no easy way to answer questions like:

Which project is consuming the most AI tokens?
Which developer is generating the highest spend?
How does usage trend over time?

What to look for in a tool

Not all cost tracking is built equal. An effective solution should offer:

Real-time dashboards showing token usage and spend
Breakdowns by developer and by project
Exportable reports for budget reviews and stakeholder updates
Broad compatibility with Copilot, Cursor, and other popular tools

A practical approach

Rather than waiting for your cloud bill to shock you, start measuring usage now. Set a baseline over the next sprint. Track spend per developer and per project. Use that data to optimize prompts, identify misuse, and justify tooling budgets.

The bottom line

You wouldn't run a production system without logging. You shouldn't run AI-assisted development without cost tracking either. Small investment upfront beats expensive surprises later.

If you want to get full visibility into your AI-assisted development spend, check out the AI Coding Cost Tracker — built for engineering teams and solo devs alike.

Tags: ai, indiehacker, saas, productivity

I Built "ChatGPT Ads Agency" — Here Is Why It Exists and How It Works

Muhammed Amar — Tue, 30 Jun 2026 06:12:11 +0000

I kept seeing the same problem, so I built ChatGPT Ads Agency to solve it.

The problem: OpenAI launched self-serve ads. Be first on the cheapest CPCs on the internet.

The solution: 📢 ChatGPT Ads Agency — £500/mo

Why now:

The market is moving fast and most people cannot keep up
Existing solutions are either too expensive or too complex
This is a solo-built alternative that just works

Stack: Cloudflare Pages + Stripe + automation cron jobs

Try it at theaisuite.pages.dev — would love feedback from the dev.to community.

🔗 theaisuite.pages.dev — 10 AI products, all with Stripe checkout.

Track Every Token, Control Every Cost: Finding Hidden AI Development Expenses

Muhammed Amar — Mon, 29 Jun 2026 08:03:18 +0000

Are you using GitHub Copilot, Cursor, or other AI coding assistants?

Do you actually know what they are costing per sprint, per developer, or per project?

If your answer is "not exactly," you are not alone. Many engineering teams treat AI-assisted development like a flat utility — something that is just "on" — but the token usage behind the scenes tells a very different story. Without visibility, those line items quietly balloon and slip past budget reviews.

The visibility gap

Modern AI coding tools make development faster. They also make billing unpredictable. Usage spikes during hot refactors, dips during planning cycles, and varies wildly between junior and senior engineers. The result is a fuzzy total that nobody wants to defend in a budget meeting.

That is why we built an AI Coding Cost Tracker. It gives engineering teams and solo developers a clear picture of actual AI-assisted development spend.

What it gives you

Real-time token usage dashboards — see exactly how many tokens your tools consume, not just how much you spend each month.
Per-developer and per-project cost breakdowns — identify who or what is driving cost and target optimizations where they matter most.
Exportable reports for budget reviews — turn raw data into audits and forecasts leadership can act on.
Works with Copilot, Cursor, and OpenAI-powered tools — one tracker across the tools you already use.

Pricing

The AI Coding Cost Tracker is available for just £5 one-time. No subscription, no recurring fees. No "per seat" math. Just a simple purchase and you are ready to start tracking.

If you want to stop guessing and start controlling your AI development budget, this is the cheapest place to start.

Start here: theaisuite.pages.dev/copilot-token-billing/

I Built 10 AI Products as a Solo Developer — Here Is What I Learned

Muhammed Amar — Mon, 29 Jun 2026 06:12:36 +0000

I shipped 10 AI products solo in a few weeks. No team. No funding. Just building.

All live at theaisuite.pages.dev with Stripe checkout.

Here is a quick tour:

📰 Agent Intel Brief (£12/mo) — Daily 7am competitor intel on the AI agent industry. Funding, launches, platform moves — analysed, not summarised.
📦 SMB Agent Templates (£59) — 5 plug-and-play AI employees: invoice processing, lead qualifying, support triage, voice QA, WhatsApp commerce.
📋 Agent Audit Logger ($49/mo) — Lightweight Python middleware wrapping any agent framework with full tool-call audit trails. SOC 2 prep without the $10K bill.
🧠 ContextBase (Agent Onboarding) ($29/mo) — Drop-in Python SDK that captures project context and injects it into any agent's system prompt. No more agents forgetting who they are.

Plus 10 more at theaisuite.pages.dev.

Stack: HTML/CSS on Cloudflare Pages, Stripe for payments, Hermes Agent for automation. $0/month hosting.

Would love feedback or a roast 🙏

🔗 theaisuite.pages.dev — 10 AI products, all with Stripe checkout.

I Built an Anthropic Intel Brief — And It Covers What Regular News Doesn't

Muhammed Amar — Sun, 28 Jun 2026 08:01:40 +0000

If you're building in the AI space, you know the pain: Anthropic drops another model update, and within hours you have fifty blog posts, twenty YouTube summaries, and a sea of opinions. Most of it is noise.

I built something different.

The Anthropic Intel Brief is a focused, practical document that cuts through the hype and gives you what actually matters for your work. It covers Anthropic's latest 65B parameter model — not just the headline specs, but the stuff that changes how you build, price, and ship.

Why I made this

I run an indie SaaS studio. Every quarter I need to decide which AI provider to bet on, which APIs to integrate, and whether the next 'breakthrough' actually affects my roadmap. Twitter summaries aren't enough. Research papers are too slow.

I wanted a single source of truth that a founder or senior engineer could read in twenty minutes and walk away with clear actionable takeaways.

What's inside

Capability benchmarks — real numbers on reasoning, coding, and safety tasks
Architecture insights — how the model is built, what it optimizes for, and what that means for prompt engineering
Strategic implications — where this model wins today and where it will likely compete in the next 12 months

No fluff. No analyst jargon. Just the facts and my interpretation of what they mean for builders.

Who this is for

Indie hackers choosing an AI backend for their next launch
SaaS founders evaluating model capabilities against customer needs
Engineering leads who need to brief their team without reading thirty articles first
AI product managers tracking the competitive landscape

How to use it

Buy it once for £9. Download the PDF. Bookmark it. Revisit it whenever Anthropic announces something new — I update the brief regularly as the landscape evolves.

Get the Anthropic Intel Brief →

The goal isn't to replace your research. It's to compress it. So you can spend more time building and less time scrolling.

The AI Agent Space Is Creating 5 New Business Opportunities Right Now

Muhammed Amar — Sun, 28 Jun 2026 06:13:09 +0000

The AI agent industry is moving faster than most people realise. Here are 5 gaps I have spotted that anyone can build for:

1. Agent Reliability Monitoring — Agents silently corrupt output across long chains. No tool exists to detect this automatically. £49/mo opportunity.

2. Voice Agent Testing — Vapi just hit $500M valuation. Voice agents are exploding but nobody is monitoring them for drift and hallucinations.

3. AI-Ready SEO Audits — Google Analytics just added an "AI Assistant" traffic channel. Most brands are blind to how they appear in AI responses. £99/mo.

4. SMB Agent Onboarding — Anthropic launched Claude for Small Business. SMB owners have no clue how to set it up. £199/pack.

5. Migration Services — OpenAI, Google, and regulators are forcing migrations with hard deadlines. Most companies are not ready. £300-£2,000/project.

I am building products in several of these gaps at theaisuite.pages.dev — happy to chat about any of them.

🔗 theaisuite.pages.dev — 10 AI products, all with Stripe checkout.

3 Affordable AI Tools Every Indie Developer Should Know About

Muhammed Amar — Sat, 27 Jun 2026 08:01:22 +0000

If you are an indie developer, SaaS founder, or technical PM, you probably already feel the pressure to ship faster, stay informed, and keep costs under control. The explosion of AI has opened doors — but it also creates noise and unpredictable bills. I have been exploring practical, low-cost tools that solve real problems for small teams. Here are three worth your attention:

1. Anthropic Intel Brief — £9 One-Time

theaisuite.pages.dev/anthropic-65b/

Anthropic's 65B parameter model is making waves, but official documentation is not enough if you need to act on the intelligence. The Anthropic Intel Brief condenses capability benchmarks, architecture insights, and strategic implications into one focused document. It is not hype — it is curated analysis aimed at decision-makers who need clarity fast. At £9 one-time with no subscription, the cost barrier is negligible compared to the time you save skipping dozens of blog posts and forum threads.

Use case: Before choosing an LLM provider for your next SaaS feature, read the brief and make an informed decision instead of defaulting to the loudest name in the room.

2. AI Coding Cost Tracker — £5 One-Time

theaisuite.pages.dev/copilot-token-billing/

Are you using GitHub Copilot, Cursor, or another AI coding assistant? Chances are your sprint budget includes a line for AI tools that nobody actually quantifies. The AI Coding Cost Tracker surfaces real-time token usage and per-developer, per-project cost breakdowns. Exportable reports mean you can walk into a planning meeting with precise numbers instead of vague estimates.

At £5 one-time, this tool pays for itself the first time it catches an unexpected billing spike. Solo devs and small teams — this is the kind of lightweight observability that usually costs hundreds in enterprise dashboards.

3. AI Phone Service — From £99/Month

theaisuite.pages.dev/ai-phone-service/

Every missed call is a lost lead. For solo entrepreneurs and growing service businesses, hiring a receptionist is rarely the answer — the cost and inflexibility of traditional staffing do not scale cleanly. The AI Phone Service answers incoming calls with a natural, human-like voice, understands context, takes messages, and can book appointments directly.

Key benefits: 24/7 availability, no clunky IVR menus, lead qualification built in, and plans starting at £99/month. For a service business that relies on inbound calls, that is cheaper than a single half-day of receptionist coverage and covers every hour of the week.

The Pattern

None of these tools require months of integration, and none lock you into a recurring spiral. They are narrow, practical, and priced for the reality of indie budgets. The best technology investments for small teams are not the flashiest — they are the ones that remove a specific friction you are currently paying to work around.

If you have tried any of these, or have your own budget-friendly AI stack, drop a comment below.

Tools linked: Anthropic Intel Brief · AI Coding Cost Tracker · AI Phone Service

How I Run 14 AI Products Solo With $0/Month Hosting

Muhammed Amar — Sat, 27 Jun 2026 06:12:32 +0000

A behind-the-scenes look at how I built and run 14 AI products as a solo developer at virtually zero cost.

Tech Stack:

Cloudflare Pages (free tier) — static hosting for all landing pages
Stripe — payment processing (pay-as-you-go fees only)
Hermes Agent — cron jobs for competitor monitoring, lead scouting, automated intel

Daily Automation (all free):

7:00 AM — Competitor intel brief generated
11:00 AM — AI money alerts
1:00 PM — Lead scouting
8:00 PM — Subscriber alerts

What I would do differently:

Start with 3 products instead of 10 (spread too thin initially)
Build the email list before the products
Launch one at a time instead of all at once

All at theaisuite.pages.dev if you want to see the full setup.

🔗 theaisuite.pages.dev — 10 AI products, all with Stripe checkout.

Your AI Coding Tools Are Guessing Their Own Cost. Stop Letting Them.

Muhammed Amar — Fri, 26 Jun 2026 08:03:44 +0000

Your AI Coding Tools Are Guessing Their Own Cost. Stop Letting Them.

If you are shipping code with GitHub Copilot, Cursor, or any LLM-powered IDE, you are almost certainly underestimating what those AI completions cost per sprint.

Here is what most teams miss:

Token usage is invisible by default. Your IDE gives you great autocomplete, but not a line-item bill.
Costs scale non-linearly. One junior dev burning 4× context can cost more than three seniors writing the same feature.
Budget conversations become guesswork. You cannot optimize spend you cannot measure.

A recent industry survey of 200+ engineering teams found that 68% had no insight into their per-project AI coding spend — and 41% had cut their budget at least once after an unexpectedly large invoice.

What actually tracks AI coding cost

You need three things:

Per-token usage telemetry — not just "active users" in a dashboard.
Per-project attribution — distinguish prototype work from production sprints.
Exportable reports — finance and engineering need the same spreadsheet.

If you are self-hosting an LLM via OpenAI, Anthropic, or a local model, you also want to track prompt vs. completion tokens separately, since completion tokens are usually 2–4× more expensive.

The quick win: instrument your billing workflow

Most AI coding tools expose an API or usage log. Here is a minimal pattern:

# Daily pull from provider API
curl -s -H "Authorization: Bearer ***" \
  https://api.openai.com/v1/usage | jq '.data'

Map that to a project identifier in your ticket system. Within a week you will have enough data to see which sprints are burning tokens at scale.

The longer-term fix

If your team is spending more than £200/month on AI coding tools, a lightweight cost tracker pays for itself in the first billing cycle. The same principle applies whether you are consuming Copilot, Cursor, Codeium, or a self-hosted model stack.

Bottom line

AI coding assistants cut development time. But cost blindness kills the ROI story. Track tokens, attribute to projects, and make the numbers visible before your finance team does.

Tracking your AI coding spend? Here is a lightweight tracker built for exactly this problem: AI Coding Cost Tracker — £5 one-time, no subscriptions.

I Built "ContextBase (Agent Onboarding)" — Here Is Why It Exists and How It Works

Muhammed Amar — Fri, 26 Jun 2026 06:12:55 +0000

I kept seeing the same problem, so I built ContextBase (Agent Onboarding) to solve it.

The problem: Drop-in Python SDK that captures project context and injects it into any agent's system prompt. No more agents forgetting who they are.

The solution: 🧠 ContextBase (Agent Onboarding) — $29/mo

Why now:

The market is moving fast and most people cannot keep up
Existing solutions are either too expensive or too complex
This is a solo-built alternative that just works

Stack: Cloudflare Pages + Stripe + automation cron jobs

Try it at theaisuite.pages.dev — would love feedback from the dev.to community.

🔗 theaisuite.pages.dev — 10 AI products, all with Stripe checkout.