Do you only work in these technologies?

These are the stacks we document publicly — AI and LLMs, Laravel, Next.js, WordPress, AWS, and APIs. We work inside your house when it fits — and we say plainly when a different tool is the better engineering choice. See Solutions for outcomes and About for how we engage.

Will you force a rewrite onto your preferred stack?

No. Architecture and ownership come first. We recommend changes only when the workload earns them — Contact us with constraints if you want a direct fit check.

How do technologies relate to Solutions?

Solutions describe outcomes. Technologies explain the tools we reach for — and when we do not — on the path to those outcomes.

Technology with a production reason.

AI and LLMs, Laravel, Next.js, WordPress, AWS, and APIs — chosen for fit, not fashion, so your platform team can operate what we ship.

Discuss a workload See solutions

Stack decisions should be boring

Technology pages are not a logo wall. They are decision notes for engineering managers: what we reach for, what we avoid, and how tools connect to Solutions.

Architecture comes first — task boundary, failure modes, and serving path. Tools follow. If a stack choice is already locked in your organization, we work inside it. If it is open, we will say what we would pick and why.

How do your technologies fit together?

Capability areas around an owned runtime

AI, backend, cloud, frontend, data, DevOps, and integrations only matter when they support a runtime your team can operate.

Architecture-first
Boundary and contracts precede framework fashion.
Linked to outcomes
Each capability maps back to Solutions — not a tool checklist.

Technology decision matrix

When we reach for a capability — and when we recommend something else.

Technology adoption decision matrix
Capability	We use when	We skip when	Prefer instead
AIModels · eval	Bounded, repeated task	Vague “AI strategy”	Process redesign first
Backend	Domain logic you own	Glue-only scripts	Clear API contracts
Cloud / DevOps	Residency · release loop	Demo-only endpoints	Private serving path
Frontend	Product or content surface	Decoration-first rebuilds	Hardened CMS or app
Integrations	Multiple consumers	One-off plugin hooks	Versioned APIs

Why we choose each technology

Fit to the workload

We recommend a tool when the operating constraint earns it — cost, control, cadence, or ownership.

Contracts before cleverness

APIs, evaluation gates, and release paths keep systems replaceable. Clever stacks without contracts do not.

Operate inside your house

If your team already owns Laravel, Next.js, WordPress, or AWS, we work inside that reality.

Honest no’s

We say when a technology is wrong for the boundary — and point to a better fit.

AI

AI & LLMs

Compact and frontier models — each used where it earns its keep.

Backend

Laravel

Backend platforms and APIs when the domain lives in PHP.

Cloud

AWS

Cloud infrastructure and private serving paths.

Frontend

Next.js

Product and marketing surfaces with modern web delivery.

WordPress

Content systems that must stay operable under real traffic.

Data

Data & evaluation plane

Stores, baselines, and signals that keep models honest — wired through contracts your team can own.

AI & LLMs

Compact and frontier models — each used where evaluation and volume earn the choice.

DevOps

AWS serving & release

Private serving, observability, and rollback — the ops path that keeps inference trustworthy.

Cloud & DevOps solution

How we design the delivery loop your platform team inherits after go-live.

Integrations

APIs

Contracts between services, models, and operators.

What does the stack look like in practice?

An ecosystem around model engineering

APIs, surfaces, domain platforms, and cloud infra connect to task AI — only when each piece earns its keep.

Fit over fashion
We recommend a tool when the workload earns it.
Linked to services
Each technology page connects back to Solutions.

Related Case Studies

Inference cost on repeated work

Pattern: contain unit cost when a broad model runs a narrow, high-volume task.

Task-bounded agents in production

Pattern: ship agents with failure modes operators can live with.

Related Insights

Insights hub

Why we publish, cornerstone topics we will cover, and how notes connect to Solutions.

Company & next steps

Solutions

Outcome catalog — automation, agents, custom software, APIs, cloud, and WordPress engineering.

Industries

Healthcare, finance, professional services, and e-commerce constraints we engineer for.

About Konic Labs

Architecture-first engineering for production AI — how we think, deliver, and stay after go-live.

Contact

Discuss a production AI, software, automation, or cloud workload with the engineering team.

Technology questions

Do you only work in these technologies?: These are the stacks we document publicly — AI and LLMs, Laravel, Next.js, WordPress, AWS, and APIs. We work inside your house when it fits — and we say plainly when a different tool is the better engineering choice. See Solutions for outcomes and About for how we engage.
Will you force a rewrite onto your preferred stack?: No. Architecture and ownership come first. We recommend changes only when the workload earns them — Contact us with constraints if you want a direct fit check.
How do technologies relate to Solutions?: Solutions describe outcomes. Technologies explain the tools we reach for — and when we do not — on the path to those outcomes.

Talk stack and constraints

Share what is locked, what is open, and where inference must live. We will be direct about fit.

Discuss a workload

Stack decisions should be boring

Technology pages are not a logo wall. They are decision notes for engineering managers: what we reach for, what we avoid, and how tools connect to Solutions.

Technology decision matrix

When we reach for a capability — and when we recommend something else.

Technology adoption decision matrix
Capability	We use when	We skip when	Prefer instead
AIModels · eval	Bounded, repeated task	Vague “AI strategy”	Process redesign first
Backend	Domain logic you own	Glue-only scripts	Clear API contracts
Cloud / DevOps	Residency · release loop	Demo-only endpoints	Private serving path
Frontend	Product or content surface	Decoration-first rebuilds	Hardened CMS or app
Integrations	Multiple consumers	One-off plugin hooks	Versioned APIs

Why we choose each technology

Fit to the workload

We recommend a tool when the operating constraint earns it — cost, control, cadence, or ownership.

Contracts before cleverness

APIs, evaluation gates, and release paths keep systems replaceable. Clever stacks without contracts do not.

Operate inside your house

If your team already owns Laravel, Next.js, WordPress, or AWS, we work inside that reality.

Honest no’s

We say when a technology is wrong for the boundary — and point to a better fit.

Company & next steps

Do you only work in these technologies?: These are the stacks we document publicly — AI and LLMs, Laravel, Next.js, WordPress, AWS, and APIs. We work inside your house when it fits — and we say plainly when a different tool is the better engineering choice. See Solutions for outcomes and About for how we engage.
Will you force a rewrite onto your preferred stack?: No. Architecture and ownership come first. We recommend changes only when the workload earns them — Contact us with constraints if you want a direct fit check.
How do technologies relate to Solutions?: Solutions describe outcomes. Technologies explain the tools we reach for — and when we do not — on the path to those outcomes.

Technology with a production reason.

Stack decisions should be boring

Capability areas around an owned runtime

Technology decision matrix

Why we choose each technology

Fit to the workload

Contracts before cleverness

Operate inside your house

Honest no’s

AI

Backend

Cloud

Frontend

Data

DevOps

Integrations

An ecosystem around model engineering

Related Solutions

Related Case Studies

Related Insights

Company & next steps

Technology questions

Talk stack and constraints

Technology with a production reason.

Stack decisions should be boring

Capability areas around an owned runtime

Technology decision matrix

Why we choose each technology

Fit to the workload

Contracts before cleverness

Operate inside your house

Honest no’s

AI

Backend

Cloud

Frontend

Data

DevOps

Integrations

An ecosystem around model engineering

Related Solutions

Related Case Studies

Related Insights

Company & next steps

Technology questions

Talk stack and constraints