Blog
Most development cost overruns come from three predictable sources: scope creep, wrong team structure, and rebuilding what should have been architected right the first time.
Legal due diligence takes weeks by hand. AI handles the same work in hours. Here's how to build contract review, discovery, and compliance agents.
The fractional CTO role is misunderstood - it is not a part-time developer. Here is the actual day-to-day: architecture decisions, team building, investor prep, and the tech debt negotiations nobody else wants to have.
Your internal APIs are invisible to AI agents until you wrap them in MCP. This guide covers tool definitions, handlers, transport, and production patterns.
India's pharma industry is projected to reach $130B by 2030, but most companies still run on paper-based field reporting, legacy LMS platforms, and disconnected supply chains. Here are the 7 areas where Dr. Reddy's, Sun Pharma, Cipla, and others are placing their digital bets.
No SOC 2 report? No enterprise deal. Here's what SOC 2 actually requires, how long it takes, what it costs, and why most B2B SaaS companies need it before their first enterprise customer.
See something relevant to your business?
We’ve shipped 100+ products using the patterns we write about. If something here describes your problem, we can fix it.
Talk to a founder
Building an app like Uber costs $50K for a basic bike-taxi MVP to $600K+ for a multi-service super app. Here's the real breakdown - Uber, Lyft, Ola, and Rapido - with numbers from teams who've actually built them.
Energy companies manage aging infrastructure, volatile markets, and regulatory pressure simultaneously. AI agents handle the real-time decisions across grid operations, maintenance scheduling, and energy trading that no human team can match at scale.
GDPR, HIPAA, PCI DSS, SOC 2 - if you're building an app, the wrong compliance miss can cost millions. Here's every regulation you need to know, mapped by geography, industry, and data type.
A food delivery app is actually 3 apps -- customer, restaurant, and driver. Here's how they work together, what each costs to build, and where most projects go wrong.
80% of AI projects fail to reach production. The causes are not technical. Here are the eight predictable patterns and how to avoid every one of them.
AI app costs range from $5K to $500K+ and most teams budget for the wrong tier. Here are the real numbers by project type - and what drives the cost.
Build with us
100+ products shipped using the patterns we write about. One conversation with a founder to see if we can help.
Talk to a founder