Forem: Saathwik

Your AI Writes Code. Who Fixes the Build?

Saathwik — Wed, 01 Apr 2026 13:09:08 +0000

Every AI coding tool in 2026 can write code. Some of them write great code. But here's the question nobody asks during the demo: what happens when the build fails?

Because the build will fail. It always does.

The Invisible 40%

When you watch a demo of an AI coding tool, you see the impressive part: the AI generates a full component, a complete function, an entire page. It looks magical.

What you don't see is what happens next:

The import path is wrong because the AI didn't read the project's module structure
There's a type mismatch because the API response shape changed last week
A dependency is missing because the AI assumed it was already installed
A CSS class doesn't exist because the AI used Tailwind v3 syntax in a v4 project

None of these are hard to fix. But fixing them takes time. And you have to fix them, because the AI already moved on. It wrote the code and stopped. Your job now.

This invisible 40% — the building, error-reading, debugging, and rebuilding — is where developers spend most of their time when working with AI tools. And no one talks about it because it doesn't make for a good demo.

What a Build-Fix Loop Looks Like

Imagine an AI that works like this:

Reads your codebase — structure, conventions, existing patterns, config files
Writes every file needed for the feature
Installs any missing dependencies
Runs your build command (TypeScript, Go, Rust, Python — whatever your stack uses)
Reads the full error output
Reads all the broken files
Fixes every error in one pass
Rebuilds
If more errors: reads, fixes, rebuilds again
Stops when the build passes clean

No human in the loop. No copy-pasting errors. No "can you fix this?" back-and-forth.

Why Most Tools Don't Do This

Building a build-fix loop is harder than it sounds. The AI needs to:

Know how to build your project (different for every language and framework)
Read and parse compiler/build errors (they're all formatted differently)
Understand which files to fix (errors often cascade across files)
Fix all errors at once (fixing them one by one is painfully slow)
Know when to stop (avoid infinite loops where fixes create new errors)

Most AI tools skip all of this and let you handle it. It's the reasonable thing to do — building this is genuinely hard engineering.

But it's also the reason most AI coding workflows still feel like "faster copy-paste" instead of "autonomous engineering."

The 60/40 Rule

We noticed something while building our tool: the best results come when the AI spends 60% of its time reading and 40% writing. Just like a real senior engineer.

Most AI tools jump straight to writing. They see your prompt and start generating code immediately. Fast? Yes. But the code doesn't fit your project because the AI never looked at your project.

Reading first — your file structure, your naming conventions, your imports, your configs, your existing patterns. Then writing code that fits. The result isn't just correct code — it's code that looks like you wrote it.

What This Means in Practice

Here's a real example. You prompt: "Add a settings page with profile editing and theme toggle."

Without a build-fix loop:

AI writes a settings component
You paste it into the right file
You run the build
Missing import for your auth hook
Missing dependency for the theme toggle library
Type error: your user type doesn't have the field the AI assumed
You fix all three, rebuild
One more error: the route isn't registered
You fix it, rebuild
Clean build. Took 15 minutes of your time.

With a build-fix loop:

AI reads your project, sees your auth setup, your existing theme system, your user types
Writes the settings page, the route registration, the types
Installs any missing deps
Builds - 2 type errors
Fixes both - rebuilds - clean
Done. You didn't touch anything. Took 3 minutes.

Same AI model. Same code quality. Completely different experience.

Try It

I built Synoppy to solve exactly this. It's an autonomous AI coding agent for your terminal — 33 tools, 11 models from 3 providers, and the build-fix loop that handles the 40% no one else does.

npm install -g @synoppy/cli

Free 5-day trial. No credit card.

I'm Saathwik, 19, building this solo. Would love your feedback — what's your experience with AI coding tools? Does the "invisible 40%" resonate?

I Built an AI Coding Agent That Actually Ships — Not Just Suggests

Saathwik — Mon, 23 Mar 2026 12:49:35 +0000

Every AI coding tool I've used has the same problem.

It suggests code. I copy-paste it. I wire it up. I fix the imports. I run the build. I debug the errors. The AI did 20% of the work. I did 80%.

I got tired of being the AI's assistant. So I built one that does the full 100%.

Meet Synoppy

Synoppy is an AI coding agent that lives in your terminal. Not a copilot. Not a chatbot. An autonomous agent that reads your codebase, writes every file, installs dependencies, runs the build, fixes its own errors, and ships.

One prompt. Full project. Clean build.

> Build me a SaaS landing page with pricing, testimonials, and dark mode

Scaffold(Next.js 15 + Tailwind v4)
Write(Navbar.tsx)           87 lines
Write(Hero.tsx)            124 lines
Write(Pricing.tsx)         203 lines
Write(Testimonials.tsx)    142 lines
Write(Footer.tsx)           96 lines
Write(globals.css)         284 lines
Bash(npm install)          added 12 packages
Bash(npm run build)        0 errors

Done in 6m 42s — 8 components, production-ready.

That's real terminal output. Not a mockup.

The Problem With Every AI Coding Tool

GitHub Copilot autocompletes one line at a time. Great for boilerplate. Useless for building a feature end-to-end.

Cursor is better — it edits files and understands context. But you're still the orchestrator. You decide what to do next. You run the build. You read the errors. You tell it what to fix.

ChatGPT/Claude chat gives you code blocks. You copy. You paste. You pray it works. It never does on the first try.

Here's what I wanted: describe the outcome, get the outcome.

Not "here's some code, good luck." But "here's your working app, build passes, zero errors."

That's what Synoppy does.

How It Works Under The Hood

When you give Synoppy a prompt, here's what actually happens:

Step 1 — Understand. It reads your project structure, package.json, existing components, and config files. It knows what framework you're using, what dependencies you have, and how your code is organized.

Step 2 — Plan. For complex tasks, it creates a structured plan with tasks. You can review and approve before it starts building.

Step 3 — Build. It writes ALL the files. Not one at a time — everything. Navbar, Hero, Pricing, Footer, globals.css, layout updates — all in one pass.

Step 4 — Wire. It installs the specific packages it needs. Not npm install — it runs npm install framer-motion lucide-react with exactly the dependencies its code uses.

Step 5 — Verify. It runs the build. Reads every error. Maps errors to files. Reads those files. Fixes them. Rebuilds. Repeat until clean.

Step 6 — Ship. Clean build, zero errors, ready to deploy.

The entire loop is autonomous. You describe what you want. You get a working result.

12 Models From 3 Providers

Most AI tools lock you into one model. One provider. One price point.

Synoppy gives you 12 models from 3 providers. Switch mid-conversation with /model:

Claude (Anthropic)

Opus 4.6 — most intelligent, 128K output, adaptive thinking
Sonnet 4.6 — best speed-intelligence balance
Sonnet 4.5 — reliable workhorse
Haiku 4.5 — fastest, great for quick edits

Gemini (Google)

3.1 Pro — deep reasoning
3 Flash — fast and affordable
3.1 Flash-Lite — cheapest option

DeepSeek

V3 — $0.14 per million input tokens

Use DeepSeek for quick questions. Sonnet for everyday coding. Opus for complex architecture. Switch freely.

33 Tools, Zero Plugins

Synoppy has 33 built-in tools it uses autonomously:

File operations — read, write, edit, multi-edit, delete, move, copy, undo

Search — glob, grep, search and replace, explore entire directories

Build and run — execute commands, scaffold 55+ frameworks, verify builds, batch operations

Git — status, diff, commit, branch, log — all without leaving the conversation

Planning — structured plans with tasks, persistent todos, clarifying questions

Web — search the web, fetch URLs for documentation

No plugins to install. No extensions to configure. Everything works out of the box.

BYOK: Bring Your Own Key

Already paying for Anthropic, Google, or DeepSeek API keys?

/byok anthropic sk-ant-api03-...
/byok gemini AIzaSy...
/byok deepseek sk-...

Unlimited usage. Zero credit limits. Your keys, our agentic framework. Works on every plan, including free.

Some Technical Decisions I'm Proud Of

Fuzzy matching for edits. When the AI generates old_content that doesn't exactly match the file (whitespace differences, minor changes), most tools fail silently. Synoppy tries 5 strategies: exact, full replacement, normalize line endings, trim whitespace, and anchor-based matching.

Build verification loop. The agent doesn't trust itself. After writing files, it runs the build, reads every error, traces errors to specific files, reads those files, applies fixes, and rebuilds. This loop continues until the build is clean.

Prompt caching. Anthropic's prompt caching saves 60-80% on input tokens for repeated API calls in the same conversation. We place cache breakpoints on the system prompt and last tool definition.

Max tokens recovery. When a model runs out of output tokens mid-file-write, Synoppy repairs the incomplete JSON, saves what it can, and continues seamlessly in the next API call. No data loss.

Adaptive thinking. Claude Sonnet 4.6 and Opus 4.6 support adaptive thinking — the model decides when to think deeply vs. respond quickly. Budget-capped at 25% of output tokens so it doesn't burn your credits on reasoning.

Get Started in 30 Seconds

npm install -g @synoppy/cli
synoppy login
synoppy

That's it. Three commands.

Launch offer: 50% OFF all plans.

Plan	Price	Credits
Free Trial	$0 for 5 days	1,000
Pro	~~$20~~ $10/mo	2,000/mo
Pro+	~~$60~~ $30/mo	6,000/mo

BYOK users get unlimited usage on any plan.

Try Synoppy

I built this because I believe AI should do the work, not just suggest it. If you try it, I'd love to hear what you build. Drop a comment — I read and respond to every one.

How to launch your MVP in a weekend without getting stuck in configuration hell.( + Black Friday Deal 🚀)

Saathwik — Thu, 27 Nov 2025 15:34:54 +0000

The Problem: The “First Weekend” Trap

We’ve all been there.

You have a great idea for a side project on a Friday night. You’re pumped. You open your terminal:

npx create-next-app@latest my-awesome-idea

Then the questions start:

TypeScript? (Yes)

ESLint? (Yes)

Tailwind CSS? (Yes)

App Router? (Yes)

Two hours later, you’re still:

configuring Shadcn UI components

fighting with auth providers

setting up your database schema

trying to remember how you like to structure your API routes

You still haven’t written a single line of code for your actual idea.

By Sunday night, you’re exhausted and sitting on a half-configured repo you’ll probably never touch again.

That’s the “First Weekend” trap, and it kills more side projects than anything else.

The Idea: What if you could just prompt it?

I built Synoppy because I was sick of this cycle.

Most AI coding tools today (Copilot, Cursor, etc.) are amazing at auto-completing functions or writing small snippets…

…but they don’t own the whole project. You still have to glue everything together.

Synoppy is different. It’s an AI agent that behaves like a junior full-stack developer.

You give it a high-level prompt, and it scaffolds a complete, running application.

Instead of writing config files, you write something like:

“Build a landing page for a SaaS that sells coffee subscriptions.
It needs a pricing section with 3 tiers, a testimonial grid, an FAQ accordion, and a footer.
Use a modern, dark theme with orange accents.”

In about ~60 seconds, Synoppy spins up a live sandbox with:

✅ A Next.js 14 (App Router) project structure

✅ Shadcn UI installed and wired up

✅ Tailwind CSS classes applied for the dark/orange theme

✅ Clean, component-based code you can actually read and edit

It doesn’t just give you code blocks to copy-paste.

It gives you a running app.

Iteration Is King

The first prompt is rarely perfect, so Synoppy is built around iteration.

Once the initial app is generated, you keep talking to it:

“Change the hero headline to something punchier.”

“Add a Sign up button in the navbar that links to /signup.”

“Make the pricing cards pop more on hover.”

Synoppy remembers the context of your project and edits it intelligently instead of dumping new code every time.

You stay in “product thinking” mode instead of “where did I put that component?” mode.

Free Plan: More Room to Play

Even if you’re not ready to pay, I still want builders to be able to experiment properly.

During launch + Black Friday, the Free plan now includes 20 credits (up from 10), so you can push more ideas all the way into running sandboxes before you ever upgrade.

Launch Week + Black Friday = A Pretty Wild Deal 🤯

We literally just launched Synoppy last week.

We’re brand new — and I want to see what devs, indie hackers, and builders actually ship when they don’t get stuck in boilerplate hell.

So for Black Friday week, we’re doing something a bit aggressive:

🖤 50% OFF all Synoppy Plus plans

Example for the Plus 100 yearly plan:

Was: $228 / year

Now: $114 / year

That’s about $9.50 / month

If you’d rather just test the waters:

Plus 100 monthly is $11.50 for the first month with the discount.

Basically: if Synoppy saves you even one “lost” weekend of config, it’s already paid for itself.

You can grab the deal here:

👉 synoppy.com
— discount is auto-applied, or use code BLACKFRIDAY at checkout.

I’ll Be in the Comments

I’m hanging out in the comments today:

Ask me how it works under the hood

Tell me what kind of apps you’d try to build

Or just roast my landing page, pricing, or UX — I can take it 😅

If this resonates with you, I’d love to see what you end up building.

Happy shipping. 🛠️

— Saathwik, founder of Synoppy

Stop Writing Boilerplate. How I ship full-stack Next.js apps in minutes with AI ( + Black Friday Deal 🚀)

Saathwik — Thu, 27 Nov 2025 15:32:29 +0000

The Problem: The “First Weekend” Trap

We’ve all been there.

You have a great idea for a side project on a Friday night. You’re pumped. You open your terminal:

npx create-next-app@latest my-awesome-idea

Then the questions start:

TypeScript? (Yes)

ESLint? (Yes)

Tailwind CSS? (Yes)

App Router? (Yes)

Two hours later, you’re still:

configuring Shadcn UI components

fighting with auth providers

setting up your database schema

trying to remember how you like to structure your API routes

You still haven’t written a single line of code for your actual idea.

By Sunday night, you’re exhausted and sitting on a half-configured repo you’ll probably never touch again.

That’s the “First Weekend” trap, and it kills more side projects than anything else.

The Idea: What if you could just prompt it?

I built Synoppy because I was sick of this cycle.

Most AI coding tools today (Copilot, Cursor, etc.) are amazing at auto-completing functions or writing small snippets…

…but they don’t own the whole project. You still have to glue everything together.

Synoppy is different. It’s an AI agent that behaves like a junior full-stack developer.

You give it a high-level prompt, and it scaffolds a complete, running application.

Instead of writing config files, you write something like:

In about ~60 seconds, Synoppy spins up a live sandbox with:

✅ A Next.js 14 (App Router) project structure

✅ Shadcn UI installed and wired up

✅ Tailwind CSS classes applied for the dark/orange theme

✅ Clean, component-based code you can actually read and edit

It doesn’t just give you code blocks to copy-paste.

It gives you a running app.

Iteration Is King

The first prompt is rarely perfect, so Synoppy is built around iteration.

Once the initial app is generated, you keep talking to it:

“Change the hero headline to something punchier.”

“Add a Sign up button in the navbar that links to /signup.”

“Make the pricing cards pop more on hover.”

Synoppy remembers the context of your project and edits it intelligently instead of dumping new code every time.

You stay in “product thinking” mode instead of “where did I put that component?” mode.

Free Plan: More Room to Play

Even if you’re not ready to pay, I still want builders to be able to experiment properly.

During launch + Black Friday, the Free plan now includes 20 credits (up from 10), so you can push more ideas all the way into running sandboxes before you ever upgrade.

Launch Week + Black Friday = A Pretty Wild Deal 🤯

We literally just launched Synoppy last week.

We’re brand new — and I want to see what devs, indie hackers, and builders actually ship when they don’t get stuck in boilerplate hell.

So for Black Friday week, we’re doing something a bit aggressive:

🖤 50% OFF all Synoppy Plus plans

Example for the Plus 100 yearly plan:

Was: $228 / year

Now: $114 / year

That’s about $9.50 / month

If you’d rather just test the waters:

Plus 100 monthly is $11.50 for the first month with the discount.

Basically: if Synoppy saves you even one “lost” weekend of config, it’s already paid for itself.

You can grab the deal here:

👉 synoppy.com
— discount is auto-applied, or use code BLACKFRIDAY at checkout.

I’ll Be in the Comments

I’m hanging out in the comments today:

Ask me how it works under the hood

Tell me what kind of apps you’d try to build

Or just roast my landing page, pricing, or UX — I can take it 😅

If this resonates with you, I’d love to see what you end up building.

Happy shipping. 🛠️

— Saathwik, founder of Synoppy

I built an AI agent that ships full-stack apps from a prompt (Not just code — real running Next.js apps)

Saathwik — Mon, 24 Nov 2025 15:18:56 +0000

Hey Dev Community 👋

I’m Saathwik — I’ve been obsessed with developer experience for the last 2 years.

AI tools today generate beautiful code…

but the code rarely runs without hours of debugging.

So I built Synoppy — an AI coding agent that ships real, running apps, not just code.

🚀 What Synoppy does
You describe your idea → it delivers a full application with:

✔ Pages & components

✔ API routes

✔ State management

✔ Database / config variables

✔ UI using Shadcn + Tailwind

✔ Auto-connected APIs (Stripe, OpenAI, etc.)

No broken imports. No missing providers.

Everything runs instantly in a sandbox.

🔥 Live workflow example
You can say:

“Build a SaaS landing page with Auth, Stripe checkout, a dashboard, and a feedback form.”

Synoppy will:

Generate full project structure
Render it live in a sandbox
Let you request follow-ups:
- “Add dark mode”
- “Replace checkout with Paddle”
- “Turn dashboard into multi-tenant”
Export when ready — production-ready code

(Soon: Figma → Code, APIs → workflows, uploads, etc.)

🤝 Why I built this
Coding got faster with AI —

but shipping didn’t.

We still debug, fix imports, chase types, configure providers, etc.

I wanted something that removes the friction between idea → deployed product.

🛠️ Try Synoppy
You can test it here 👇

https://synoppy.com

We just launched publicly — early testers get 20% off with discount code: LAUNCH20

❤️ Devs I’d love feedback from
If you are a:

Programmer
Indie hacker
SaaS builder
Student building projects faster
Developer who hates boilerplate work

→ I really want to hear what works / doesn’t work.

🌍 Vision
Synoppy won’t stop at the web.

Our goal is a unified coding agent that can build for:

Web apps
Mobile apps
Backend systems
Games
Agents & automations

Whatever you imagine → Synoppy builds it. Be it on WEB, IDE or CLI

💬 I’ll reply to every comment

Tell me:

What feature should we build next?
What broke for you?
Would you use Synoppy to build a MVP / SaaS?

I’m happy to share anything about the tech stack, agent planning, or development journey.

Thanks for reading 🙏

— Saathwik
Founder & CEO, Synoppy

I built an AI agent that ships full-stack apps from a prompt (Not just code — real running Next.js apps)

Saathwik — Mon, 24 Nov 2025 14:46:54 +0000

Hey Dev Community 👋

I’m Saathwik — I’ve been obsessed with developer experience for the last 2 years.

AI tools today generate beautiful code…

but the code rarely runs without hours of debugging.

So I built Synoppy — an AI coding agent that ships real, running apps, not just code.

🚀 What Synoppy does
You describe your idea → it delivers a full application with:

✔ Pages & components

✔ API routes

✔ State management

✔ Database / config variables

✔ UI using Shadcn + Tailwind

✔ Auto-connected APIs (Stripe, OpenAI, etc.)

No broken imports. No missing providers.

Everything runs instantly in a sandbox.

🔥 Live workflow example
You can say:

“Build a SaaS landing page with Auth, Stripe checkout, a dashboard, and a feedback form.”

Synoppy will:

Generate full project structure
Render it live in a sandbox
Let you request follow-ups:
- “Add dark mode”
- “Replace checkout with Paddle”
- “Turn dashboard into multi-tenant”
Export when ready — production-ready code

(Soon: Figma → Code, APIs → workflows, uploads, etc.)

🤝 Why I built this
Coding got faster with AI —

but shipping didn’t.

We still debug, fix imports, chase types, configure providers, etc.

I wanted something that removes the friction between idea → deployed product.

🛠️ Try Synoppy
You can test it here 👇

https://synoppy.com

We just launched publicly — early testers get 20% off with discount code: LAUNCH20

❤️ Devs I’d love feedback from
If you are a:

Programmer
Indie hacker
SaaS builder
Student building projects faster
Developer who hates boilerplate work

→ I really want to hear what works / doesn’t work.

🌍 Vision
Synoppy won’t stop at the web.

Our goal is a unified coding agent that can build for:

Web apps
Mobile apps
Backend systems
Games
Agents & automations

Whatever you imagine → Synoppy builds it. Be it on WEB, IDE or CLI

💬 I’ll reply to every comment

Tell me:

What feature should we build next?
What broke for you?
Would you use Synoppy to build a MVP / SaaS?

I’m happy to share anything about the tech stack, agent planning, or development journey.

Thanks for reading 🙏

— Saathwik
Founder & CEO, Synoppy