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Booking Q3 engagements · 2 slots open

Production software, shipped at AI pace.

Hydyko pairs senior engineers with AI-assisted workflows—so you move faster on the things that matter, without losing architecture, security, or the craft of shipping real systems.

Trusted by teams in finance, healthcare, and growth-stage SaaS · Avg. first PR in 5 days

delivery.hydyko.tech/sprint-42

PRs this sprint

47+12

AI-assisted commits

68%+9pp

Review cycle time

3.1h−42%

Test coverage

94%+5pp

In progress

AI drafting + scaffolding

Generate onboarding flow

AI · drafting components

Tune search ranking

Spec → scaffold

AI proposing next task…

In review

Engineers + automated checks

Refactor billing webhooks

PR · in review

Rate-limit public API

Tests generated

Shipped

Deployed this sprint

Add MFA to auth service

PR · 4 files · +312

Migrate to pg 16

Shipped · no rollback

Illustrative dashboard · representative of partner sprint workflows

Clients

Teams worldwide trust Hydyko to ship software that scales

From regulated industries to fast-moving startups—partners who want velocity, clarity, and AI used responsibly across the stack.

4.9partner satisfaction
Repeat engagements across enterprise & growth-stage teams
  • Brightstack
  • Nimbus Labs
  • Catalyst
  • Harbor Finance
  • Atlas Retail
  • Vertex Ops
  • Northwind
  • Kestrel
  • Signal Forge
  • Blue Harbor
  • Brightstack
  • Nimbus Labs
  • Catalyst
  • Harbor Finance
  • Atlas Retail
  • Vertex Ops
  • Northwind
  • Kestrel
  • Signal Forge
  • Blue Harbor

120+

Projects delivered

35+

Industries served

24/7

Engineering coverage

99.9%

Uptime on managed stacks

What partners say

Real feedback from leaders who run engineering and product—not vendor marketing lines.

Hydyko folded AI into our delivery without turning the codebase into a black box. We ship faster and reviews still feel like engineering, not guesswork.

Sarah Chen

VP Engineering, Brightstack

The clearest win was how quickly they turned a messy brief into a working system—then iterated with us every sprint with real metrics.

Marcus Webb

Head of Product, Harbor Finance

We needed HIPAA-aware workflows and a team that could explain every automation. That balance is rare; they made it the default.

Dr. Priya Nair

CTO, Catalyst Health

How we engage

Four ways to ship with us

Every engagement is senior-led, AI-accelerated, and scoped to a concrete outcome—no body-shop hours, no theater.

01

AI-native greenfield

0 → 1 with AI in the loop

We design and build new products with AI woven into delivery from day one—so the team you ship with is the team that scales.

  • Product spec, system design, working MVP
  • AI-assisted codegen with human review
  • Production-ready infra, CI/CD, observability

Typical cadence

6–14 weeks

Talk to us
02

Legacy modernization

Untangle, refactor, accelerate

Bring AI tooling into systems that already carry weight—pay down debt safely while compounding the velocity of every future change.

  • Architecture audit and migration plan
  • Incremental refactors with regression coverage
  • Knowledge transfer and runbooks

Typical cadence

8–20 weeks

Talk to us
03

Embedded engineering

Senior engineers, your codebase

Drop in a small, senior team for a quarter or more. We work inside your repo, your sprint, your standards—and we leave with everything documented.

  • 1–4 senior engineers, full-time
  • Code review, pairing, mentorship
  • Permanent contribution to your codebase

Typical cadence

1+ quarter

Talk to us
04

AI architecture & audits

Govern AI in your SDLC

For teams already shipping with AI: assess what's working, harden what isn't, and put the guardrails in place that let you ship faster, safer.

  • AI usage assessment + risk map
  • Tooling, policy, and review patterns
  • Security, compliance, and audit trails

Typical cadence

3–6 weeks

Talk to us

Method

AI in the loop—engineers in the lead

Hydyko combines experienced engineers with AI tooling across the lifecycle: planning, implementation, quality, and operations. We ship reliable software faster—while keeping humans in the loop where judgment matters most.

01

Discover

Workshops, docs, and code spelunking become a shared product brief.

02

Design

System diagrams, API contracts, and a delivery plan you can audit.

03

Ship

Tight loops—AI-generated code, human refinement, measurable outcomes.

04

Operate

Observability, on-call playbooks, and a team that knows the system.

From spec to scaffold

Turn requirements and sketches into structured backlogs, APIs, and starter code—so your team spends time on differentiation, not boilerplate.

AI-assisted implementation

Pair modern LLMs with human review to generate components, migrations, and integrations while keeping architecture and security in focus.

Smarter reviews & tests

Automate first-pass review, generate unit and integration tests from behavior, and catch regressions before they reach production.

Governed delivery

Secrets, access control, and audit trails stay first-class—AI accelerates delivery without bypassing the policies your business depends on.

Selected work

Outcomes, not deliverables theater

A few engagements we can talk about. Reach out for the full portfolio—including the work under NDA.

Harbor Finance

Fintech · Series C

Case · 01

Replatformed core ledger in a single quarter

We embedded with their engineering team to migrate a brittle monolith to an event-sourced ledger—without freezing product work. AI-assisted refactors and generated regression suites kept the surface area honest.

11 weeks

Replatform end-to-end

0

Production incidents

3.4×

Reads/sec at p99

PostgresKafkaTypeScriptTerraform

Catalyst Health

Healthcare · HIPAA

Case · 02

Shipped a HIPAA-aware intake agent in 6 weeks

From spec to live in six weeks—an LLM-backed intake workflow with full audit trails, PHI redaction at the edge, and human approval gates wired into the carrier's compliance stack.

6 weeks

Spec to production

92%

Auto-resolved intake

100%

PHI redaction audit

PythonOpenAIPostgresAWS

Brightstack

SaaS · Growth-stage

Case · 03

Cut review cycle from 2 days to 3 hours

We introduced AI-assisted code review, generated property-based tests for hot modules, and rebuilt the release pipeline. Senior engineers stayed in the loop on every change that mattered.

−87%

Review cycle time

+38%

Sprint throughput

94%

Coverage on critical paths

Next.jsGoGitHub Actions
Currently taking new engagements

Let’s make your next sprint feel like an unfair advantage.

Tell us what you’re building. We’ll come back within one business day with a scoped proposal—not a sales pitch.

solutions@hydyko.techReply within one business dayNDA on request

FAQ

Got questions? We've got answers

A quick overview of how we work with Hydyko clients—from scope to delivery.

Hydyko

AI-native software engineering—from discovery to production.

USA & Canada

+1 (888) 388-4599

Austin, TX

5900 Balcones Dr, 78731
United States