Appweaver
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Product prototype Production system

Software engineering for production systems

We  help  startups  build  stable  systems. 

Book a call See how we work

Most systems look fine until they don't. We work with founders and product teams who can't afford to find out the hard way — whether that's an AI prototype that needs a real security review before launch, a system that's getting slower every month, or something that simply needs to be built properly from the start.

50 ×

faster after targeted fixes — no rewrite needed

1 week

from first look to a concrete fix plan

24 h

reply to every enquiry, on business days

0

account managers between you and the engineer

Tools we ship with

  • Django
  • FastAPI
  • Flask
  • Express
  • React
  • Next.js
  • Astro
  • TypeScript
  • JavaScript
  • Python
  • .NET
  • Docker

Services

Three ways we help teams ship software that holds up.

High demand

AI prototype assessment

Your team — or an AI tool — built a working prototype. Before you invest in scaling it, or hand it to real users, you need to know what you actually have. We review the code, architecture, infrastructure and security, then give you a straight answer.

  • Security vulnerabilities and credential exposure
  • Architecture and scalability risks
  • Code quality and maintainability assessment
  • Written report: what to fix, what to rebuild, what's fine
  • Production-readiness estimate with effort and cost
🛠️ End to end

Full-stack development

We design, build and ship web applications for companies that need something built properly the first time. Architecture, implementation, infrastructure — handled. You focus on your business. No agency layers, no account managers in the middle.

  • Web applications and internal business tools
  • System architecture and data modeling
  • API design, integrations and third-party services
  • Deployment pipelines and production infrastructure
🔥 Rescue

Production stabilization

For systems that are getting slower, harder to deploy, or increasingly fragile. We find what's actually wrong — not just the symptoms — and fix it without burning everything down and starting over.

  • Performance diagnosis and database optimization
  • Observability, monitoring and alerting setup
  • CI/CD and safe deployment processes
  • Architectural cleanup and technical debt reduction

Sound familiar?

Problems we solve

Scenario · AI prototype going to production

1 week

to a safe, on-time launch

The situation

A founder used AI tools to build a working product quickly. It demos well. The plan is to start onboarding real users within weeks. Nobody has looked closely at the infrastructure, credential handling, or what happens when ten users hit it at once.

What a proper audit surfaces

JWT tokens being decoded but never verified against a secret. Anyone could forge a token, claim to be any user, and access their data.

Outcome

A week of focused review and a targeted fix plan. The startup launches on schedule, with no security incidents, no user trust damage, and no regulatory exposure. The alternative — discovering this after real users are in the system — is substantially more expensive and much harder to recover from.

Scenario · Performance diagnosis

50 ×

faster, zero rewrite

The situation

A data-heavy application is running slow. The team suspects the language or framework choice — maybe it needs a full rewrite in something faster. A year of development is being planned. Budget is already mentally allocated.

What we often find instead

The bottleneck is between the application and the database — too many round trips, missing indexes, queries that load far more than they use. The language was never the problem.

Outcome

Two weeks of targeted fixes — query optimization, batching IO, selective caching — deliver a 50x performance improvement. The rewrite never needed to happen, no timeline slippage, no wasted budget. This kind of misdiagnosis is more common than most teams want to admit.

We build and run our own product.

Nodeberg · Launched 2026

Microservice maps that stay in sync with your code.

In a microservice system, the answers to “who calls this?” and “does anything still consume that event?” usually live in a few people’s heads. Nodeberg turns them into one shared map, kept up to date from CI, that also flags dependency cycles.

Visit nodeberg.io

Why Appweaver

01

No agency overhead

Work is done by senior engineers, not handed down a chain. You get the expertise without the markup.

02

Operators, not advisors

The goal is a working system, not a report that sits in a folder. We measure success by outcomes.

03

Specialists when needed

Trusted senior engineers join specific phases when deep expertise matters — no outsourcing layers.

04

Production-first mindset

Every decision is made with real operational pressure in mind. We don't experiment on live systems.

How it works

  1. 01

    Technical consultation

    A focused conversation to understand your system, your situation and what needs to happen.

  2. 02

    Scoped diagnostic

    A fixed-price audit that maps the real risks, architecture gaps and a prioritized plan. You know exactly what you're dealing with before committing to anything larger.

  3. 03

    Execution or handoff

    We either do the work, or you take the report and run with it. Either way, you leave with a concrete action plan — not general advice.

  4. 04

    Continued partnership

    Ongoing fractional engineering, architectural oversight, or continued feature delivery — whatever form makes sense at each stage of your project.

Engagements start with a fixed-scope diagnostic — a low-risk entry point that gives you a concrete picture of your system's risks and next steps before any larger commitment is made.

Get in touch

Book a technical consultation

Tell us about your system and situation. We read every message and respond within one business day.

  • Reply within one business day
  • Fixed-price diagnostic to start
  • You talk to the engineer doing the work