Development
Production-ready engineers who ship features in two-week cadences across React, Node, Python, Java, .NET, Go, Swift and Kotlin stacks.
Who you get on day one
Full-stack engineers who ship production code on day one and bring AI tooling discipline with them.
- AWS Solutions Architect
- CKAD
- Google Cloud Professional Developer
- Daily Cursor / Copilot users with prompt-engineering rigor
- Build LLM features (RAG, agents) end-to-end
- Set up AI code-review and refactor automations
Strategies & playbooks for Development
Concrete plays our consultants run to resolve the complex problems we see most often in this discipline.
Teams ship horizontal layers for months with nothing demoable.
Decompose epics into thin end-to-end slices behind feature flags; demo working software every sprint.
Stakeholder trust restored, scope risk surfaced early, faster validated learning.
Legacy monolith blocks new features, full rewrite is too risky.
Carve bounded contexts behind a façade, route traffic incrementally, retire old paths once parity is proven.
Continuous delivery resumes; rewrite risk decomposed into safe steps.
Long-lived branches cause merge hell and 2-week release cycles.
Move to trunk-based dev, gate WIP behind flags (LaunchDarkly / OpenFeature), automate progressive rollout.
Multiple safe deploys per day, drastically lower change failure rate.
Frontend and backend integration breaks late and often.
Define OpenAPI/GraphQL schemas first, generate clients, enforce Pact contracts in CI.
Parallel team velocity, integration bugs caught at PR time.
How AI accelerates Development
AI is woven into the dev inner loop. code authoring, review, refactor and docs. without compromising security or code ownership.
Engineers use Copilot / Cursor with internal context (repo, ADRs, style guide) for higher-quality suggestions.
LLM bots flag risky diffs, missing tests, and architectural drift before human review.
Agents perform repo-wide migrations (e.g. JS→TS, class→hooks) with verifiable diffs.
Auto-generate ADRs, API docs and onboarding guides from code + commits.
Recommended tools we propose as consultants
Curated stack our consultants bring on day one. chosen for fit with your scale, team and existing investment.
- React + TanStackType-safe routing, data and forms with strong SSR story.
- Next.jsMature framework for SEO-heavy and ISR workloads.
- Tailwind CSSDesign-token-driven styling that scales across teams.
- Node.js + HonoEdge-friendly, fast, TypeScript end-to-end.
- Python + FastAPIBest fit when teams need ML/data interop.
- GoHigh-throughput services and CLIs with minimal ops overhead.
- Vitest + PlaywrightUnified TS test runner + E2E coverage.
- GitHub ActionsPipeline-as-code with mature ecosystem.
- LaunchDarklyFeature flag platform for safe progressive delivery.
- CursorRepo-aware IDE with multi-file edits and chat.
- Sourcegraph CodyCode intelligence + AI grounded in your codebase.
What this discipline really is
Software Development at Codivers means embedded engineering squads that ship production code on your stack. not staff augmentation by the hour. We bring opinionated defaults for architecture, code review, testing and observability, and adapt them to your conventions in week one.
Key areas inside Development
Modern, accessible, performant web UIs. Type-safe routing, design systems, and Core Web Vitals as a first-class concern.
APIs and services with clear contracts, idempotency, and operational maturity from day one.
Native and cross-platform apps with offline-first patterns and store-ready release pipelines.
ADRs, C4 diagrams, evolutionary architecture. We pick boring tech where it matters.
Trunk-based development, code review standards, observability, and on-call hygiene.
Maturity model. where are you today?
Heroic individuals, long-lived branches, no tests, manual deploys.
PRs reviewed, some tests, weekly releases, basic monitoring.
Trunk-based, CI gates, daily releases, dashboards & alerts.
Continuous deployment, error budgets, platform-style golden paths.
Best practices we apply
- Trunk-based development with feature flags. long-lived branches kill velocity.
- Every change ships behind a flag and with a metric you can watch.
- Treat documentation (ADRs, READMEs, runbooks) as part of ‘done’.
- Pair on the first ticket of every new contributor. pays back 10×.
- Observability before features: you cannot improve what you cannot see.
Common pitfalls & how we fix them
Outcomes you can expect
- Day-one productive engineers
- Predictable 2-week delivery cadence
- 60% drop in defect leakage
- Architecture aligned with your standards
Engagement models
KPIs we commit to
Tools & technologies
What you get
- Production-ready features in 2-week cadence
- Architecture decision records (ADRs)
- Code reviews aligned with your conventions
- Test coverage with CI gates
- Observability hooks (logs, metrics, traces)
- Runbooks and onboarding docs
How we deliver
- 1DiscoveryWorkshops to scope outcomes, constraints, success metrics and risks.
- 2MatchRanked consultants with score, availability and pre-vetted skills.
- 3Pre-onboardingStack simulation aligns the consultant with your conventions before day one.
- 4DeliveryTwo-week cadence with transparent metrics, demos and async updates.
- 5Knowledge transferDocumentation, runbooks and pairing so capability stays in-house.
Roles available on the bench
| Role | Level | Indicative rate |
|---|---|---|
| Full-stack Engineer | Mid - Senior | From €500/day |
| Frontend Engineer | Senior | From €550/day |
| Backend Engineer | Senior | From €600/day |
| Tech Lead | Staff | From €850/day |
Rates are indicative; final pricing depends on seniority, location and engagement length.
Common stack overlap
Certifications on the bench
- AWS Solutions Architect
- GCP Professional
- Microsoft Certified
B2B SaaS. greenfield platform in 12 weeks
Founding team needed to ship MVP and onboard design partners in one quarter.
Embedded squad of 4 engineers built React + Node + Postgres platform with CI/CD and observability from day one.
MVP shipped on week 11. 6 design partners live, $800k ARR within 4 months of GA.