Notes from the engineering floor
What we have learned running software and AI teams for clients in Nepal, India, Australia and the US: how engagements are set up, what things cost to build, how we handle security and governance, and where AI projects go wrong.
Moving reporting off spreadsheets
A spreadsheet to database migration plan for reporting: when to move, Postgres or warehouse, data modelling, quality checks, parallel runs and ownership.
ISO 42001 or ISO 27001 for your AI product?
ISO 42001 vs ISO 27001: what each standard covers, where they overlap, which one AI product companies usually need first, and how to run both together.
EU AI Act for software teams: provider or deployer?
EU AI Act obligations depend on your role and risk tier. Provider vs deployer, high-risk duties, GPAI rules and which dates apply after the 2026 Omnibus.
Shadow and canary releases for machine learning models
How shadow and canary releases work for machine learning models: traffic splitting, the metrics to watch, drift, safe rollback and a model release checklist.
RAG or fine-tuning: which one does your product need?
RAG vs fine-tuning explained by engineers: when each fits, the data each needs, freshness, cost drivers, hybrid setups and a step-by-step way to decide.
How to test an LLM feature before it ships
A practical guide to LLM evaluation: golden datasets, automated metrics vs human review, prompt regression tests, guardrails and cost and latency budgets.
AI CTO as a service: reducing risk in your AI roadmap
What a fractional AI CTO does, how it differs from consulting or a full-time hire, how engagements run and when to switch to a permanent technical leader.
Data labeling for AI: quality, cost and model readiness
How to measure labeling quality with gold sets and annotator agreement, what drives labeling cost, and how to tell when a dataset is ready to train on.
Building a GenAI MVP in 4–8 weeks: scope, team and cost
What to ship first in a GenAI MVP, a week-by-week 4–8 week plan, the small team you need, and what drives the cost of the build and of running it.
AI agent development: from PoC to production
How AI agents move from PoC to MVP to production: when you need one, which architecture to use, the guardrails that matter and how to measure ROI.
Dedicated team vs staff augmentation vs outsourcing
Compare dedicated teams, staff augmentation and project outsourcing: who manages the work, who carries risk, real prices, start times and when each fits.
What ISO 20000-1 certification means for software SLAs
What ISO/IEC 20000-1:2018 certification tells a software buyer about SLAs, incidents and change control, what it doesn't guarantee, and what to ask.
MVP development cost: budget drivers for startups
What drives MVP development cost: user types, integrations, platforms and compliance, the costs founders forget, and how to cut scope without cutting quality.
How to choose a software development partner
A practical checklist for choosing a software development partner: what to evaluate, red flags, engagement models with real prices, and running a paid trial.
IT outsourcing in Nepal: talent, costs and how it works
An honest look at outsourcing software to Nepal: cost drivers, talent, time zone overlap by region (none with the US), and when Nepal isn't the right fit.
Top 10 technologies Nepali developers work with
The ten technologies most common among Nepali developers, from React and TypeScript to Python, Laravel and applied AI, plus rates and where talent is thin.
Software development SLAs: what to put in the contract
What a software development SLA should cover: the right metrics, example targets by severity, time zone wording, service credits and keeping it current.
Managing time zone differences with offshore teams
Real overlap hours between Nepal (UTC+5:45) and India, Australia, Europe and the US, plus the handoff and decision routines that keep offshore teams moving.
Vibe coding: how AI-assisted development works
What vibe coding means, how AI-assisted development works in practice, where it helps, where it goes wrong, and the rules teams need for production code.
Using Claude Code across the SDLC: an enterprise guide
Where Claude Code fits in each stage of the software lifecycle, the guardrails enterprises should set, a sensible rollout plan and how to measure impact.
Building a DevOps CI/CD pipeline for enterprise teams
The stages of an enterprise CI/CD pipeline, delivery vs deployment, tool choices, DORA metrics and fixes for slow pipelines, flaky tests and leaked secrets.
Managing remote engineering teams: what works
Practical habits for managing remote engineering teams: channel rules, outcome-based expectations, time zone handoffs, trust, and where remote work breaks.
Cloud computing solutions for enterprises
A practical guide to enterprise cloud: IaaS, PaaS and SaaS, when cloud saves money, choosing a provider, security basics and planning a migration.
Enterprise AI Security Practices
Enterprise AI security covers models, data, prompts and infrastructure. The main risks, which controls to put in place first, and how they fit your programme.
Change Management in Software Development, Step by Step
What change management in software development covers, how to set it up in five steps, and how to keep it light enough that engineers don't route around it.
AI Staffing Solutions: How to Find AI Talent
How AI staffing works: engagement models, roles you can staff, what drives the cost, how fast engineers start, and when to hire in-house instead.
Software Development Cost in Nepal vs Western Countries
What software development costs in Nepal: what sets the price of a team, how it compares with hiring in the US or Europe, and the hidden costs people forget.
Top DevOps Automation Tools and How Teams Use Them
The DevOps automation tools we see most in client stacks, from CI/CD and Terraform to Kubernetes and Prometheus, with notes on when each one is the right fit.
Building a SOC Platform: Lessons From the SayCure Build
What went into SayCure, the 24x7 SOC platform we built for CryptoGen Nepal, the lessons for anyone planning a SOC build, and where AI does and doesn't fit.
GRC Software: Governance, Risk and Compliance in Practice
What GRC software does, which features matter, how to choose and roll one out, and when you don't need one. From the team that built the Certifyi platform.
Software Outsourcing: Nepal vs India vs the Philippines
Nepal, India or the Philippines for software outsourcing? An honest comparison of strengths, time zones and fit, with our rates and when to look elsewhere.
PoC Development Cost: What Drives the Price
What a proof of concept costs depends on scope, integrations, data and success criteria. What drives the price, where the money goes and how to spend less.
Implementing GenAI in the Enterprise
How to implement GenAI in an enterprise: picking the first use case, preparing data, prompting vs RAG vs fine-tuning, deploying safely and common problems.
Dedicated Development Team vs In-House Team
Dedicated team or in-house team? Cost, control, scaling and risk compared, with the costs people forget, a decision framework for CTOs and when each one fits.
Finding a Software Outsourcing Partner in Nepal
How to find a good software outsourcing partner in Nepal: red flags, a step-by-step vetting process and honest numbers, from the founder of a Lalitpur firm.
Staff Augmentation: What It Means for Your Startup
Staff augmentation explained without jargon: how it works for startups, what it costs with us, how fast engineers start, and when it doesn't work at all.
Dignep is certified to ISO/IEC 20000-1:2018
Dignep Group is certified to ISO/IEC 20000-1:2018 by Prescient Security (certificate 20000-03, valid to Nov 2028). What it covers and what it means for clients.
Flight Booking App Development Cost Breakdown
What drives the cost of a flight booking app: flight data and ticketing, features, platforms and testing, plus a simple way to estimate your own build cost.
How to Benchmark Software Outsourcing Services
How to benchmark a software outsourcing provider: the metrics worth tracking, including the DORA metrics, how to run monthly reviews and what to check.
Kathmandu University DoAI and Dignep Sign AI Partnership
Kathmandu University's Department of Artificial Intelligence and Dignep signed an MoU in May 2025 covering internships, joint research and shared GPUs.
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