01
Development dragging on
Runway spent without working software in users' hands.
Months lost to an over-engineered MVP that hasn't shipped
Ship the smallest product that proves your core workflow: scoped with you up front, built on a boring, scalable stack, and handed over with documentation and tests.
Symptoms
If several of these sound familiar, the plan below is where we would start.
01
Runway spent without working software in users' hands.
02
Microservices and custom auth when a modular monolith would do.
03
Codebases handed over without documentation or tests.
Remediation plan
Each phase ends with a measurement, so you can see what changed before the next one starts.
01
MoSCoW prioritization around the one core workflow, plus the data model and API contracts.
02
Next.js, PostgreSQL or Supabase, authentication and design tokens.
03
The primary user workflow, business logic, integrations and Stripe billing.
04
Playwright end-to-end tests, monitoring, and launch to real users.
Technical checklist
What we check before a change goes to production:
We take a baseline first and report the same measurements after each change, from your own monitoring — evidence, not promised results.
Related service
Custom software for Indian SMEs and startups, built around your workflow with an agreed scope, review milestones, clear ownership and documented handover.
Explore Custom softwareQuestions
The agreed core workflow end to end: frontend, API, database, authentication, billing if you charge from day one, transactional email, automated tests and hosting. Scope and timeline are written into the proposal after a scoping session.
You do. Under our terms, the custom code, documentation and designs we produce transfer to you on payment of the invoices that cover them, and pre-existing tools we bring are licensed to you perpetually.
Related playbooks
Move to a pooled PostgreSQL design where Row Level Security enforces tenant isolation in the database, cutting per-tenant overhead and the risk of a missed WHERE clause.
Build an append-only, double-entry ledger with idempotent writes and ordered events, so every balance can be explained and rebuilt from its history.
Find what drives your Datadog bill, then cut it at the source — high-cardinality tags, noisy logs and over-sampled traces — while keeping the signals on-call depends on.
Protect your APIs from scraping, brute-force bots and floods with WAF rules at the edge and per-key rate limits in Redis.
Send us the symptoms and any metrics you have. We'll reply within one business day, set up a call and agree what to measure before anything changes.