Insights on AI,
engineering and delivery
Practical guidance for CEOs, CTOs and founders on AI investment, agents and LLM security, choosing a delivery partner, legacy modernization, and building software faster with coding agents. For shorter reads, see AI News and our software and AI glossary.
The CEO's Guide to AI ROI in 2026: What Actually Pays Back
Where AI is paying back for mid market companies in 2026, where it is burning budget, and how to measure and sequence the investment.
Read article
Agentic AI in the Enterprise: What Boards Should Know Before Approving the Budget
What boards need to understand about AI agents before approving spend: where they pay back, where they fail, governance to insist on, and what the budget really covers.
Read article
MCP Explained: How to Connect LLM Agents to Your Business Systems Safely
What the Model Context Protocol is, why it matters to the business, a reference architecture for enterprise agents, and the security design that gets them into production.
Read article
How to Evaluate an AI Native Development Partner: 12 Questions Every CTO Should Ask
Twelve questions that separate genuinely AI native development partners from the ones that added a copilot license, with a scorecard and red flags.
Read article
LLM Application Security in 2026: Prompt Injection, Data Leakage and the OWASP Top 10
A practical walk through the OWASP Top 10 for LLM Applications, why indirect prompt injection gets worse with agents and tools, and the controls that hold in production.
Read article
How to Choose an LLM for Production in 2026: A Model Selection Framework
A practical framework for selecting production LLMs by task type, cost per task, latency, privacy and tool reliability, with evaluation sets that run in CI.
Read article
Build, Buy or Partner: A CFO's Framework for Software Investment in 2026
How CFOs should compare SaaS, in house teams and an engineering partner on five year cost, hidden costs, ownership and speed, now that AI has cut build costs.
Read article
Agentic Coding in 2026: What Autonomous Coding Agents Mean for Software Estimates and Budgets
What autonomous coding agents compress in a software estimate, what they do not, how to read a 2026 quote, and where the savings should land.
Read article
Generative Engine Optimization (GEO): The New SEO Rules for 2026
Traditional SEO is dying. Learn how to optimize your website and technical products for ChatGPT Search, Perplexity, Claude, and Gemini.
Read article
Google Antigravity vs Claude Code vs Cursor
A practical comparison of the three leading AI coding agents in 2026, when to use each, and how they work together.
Read article
Why We Switched from GitHub Copilot to Cursor with Claude as Our Primary Coding Agent
Our experience moving from Copilot to Cursor with Claude, what improved, what we still use Copilot for, and the productivity impact.
Read article
The AI Native Software Company: What It Means and Why It Matters
What AI native actually means beyond the buzzword, how it changes team structure and delivery, and how to tell if a company is genuinely AI native.
Read article
Fixed Price vs Time and Materials: How to Choose the Right Engagement Model
When to choose fixed price, when time and materials makes more sense, risk allocation, and a practical decision checklist.
Read article
Offshore Development in 2026: What's Changed and What Still Matters
How AI tools, async workflows, and quality guarantees have transformed offshore development. What to look for in a partner now.
Read article
How AI Is Reshaping HealthTech Software in 2026
Real AI applications in healthcare software today, from clinical decision support to document parsing, and the compliance challenges that come with them.
Read article
Tech Debt in FinTech: Why Compliance Makes Legacy Modernization Urgent
Why tech debt in financial software is a compliance liability, not just an engineering inconvenience, and what to do about it.
Read article
Building a Voice Bot for Call Centers: Architecture, Pitfalls, and Real World Performance
From FreeSWITCH to NLU to speech synthesis. A complete architecture guide for production voice bots with real performance metrics.
Read article
Adding AI to Your Existing Product Without Rewriting It
Practical integration patterns for adding chatbots, semantic search, and document parsing to your existing software without a full rebuild.
Read article
RAG vs Fine Tuning: Which Approach Should You Choose for Your Use Case?
A practical decision framework for choosing between retrieval augmented generation and fine tuning, with cost, accuracy, and latency compared.
Read article
How We Achieve 80%+ Test Coverage from Day One on Every Project
Our process for achieving 80%+ automated test coverage from project start using AI coding agents, Playwright, and Vitest.
Read article
AI Led vs Traditional Software Development: What Actually Changes
A practical comparison of AI native development workflows vs traditional team structures, where AI adds real value and where it doesn't.
Read article
How to Migrate PHP to Node.js Without Downtime
A step by step guide to incremental legacy migration, running old and new systems in parallel until you're confident in the switch.
Read article
FreeSWITCH vs Asterisk in 2026: Which Should You Choose?
An honest comparison from engineers who've deployed both in production, performance, scalability, WebRTC support, and total cost of ownership.
Read article
How LLMs Actually Improve Engineering Productivity
Beyond the hype, where Claude Code, Cursor, and Copilot genuinely accelerate delivery, and where human engineers remain irreplaceable.
Read article
What to Consider Before Modernising a Legacy System
The questions you need to answer before committing to a rebuild, scope, risk, migration strategy, and how to avoid the common traps.
Read articleHave a project in mind?
Get a free scope, timeline, and cost estimate within 48 hours.