Building prototypes took months. Engineers now use structured markdown to guide an AI IDE in generating standardized code and test cases.
A global B2B travel marketplace aggregates and distributes flight and hotel inventories across more than 100 countries, requiring a scalable architecture to support massive concurrent transactions.
Accelerating international expansion required faster software delivery, but traditional development paradigms were too slow. Building new business...
B2B global travel marketplace for air tickets and hotels.
Cloud computing platform and on-demand infrastructure services.
PKFARE's Software development is part of this use case:
Related implementations across industries and use cases
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
.NET dependencies chained the platform to Windows, blocking new features. Manual migration was out of reach—AWS automated it.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
.NET dependencies chained the platform to Windows, blocking new features. Manual migration was out of reach—AWS automated it.
Manual prospecting across multiple tools delayed first contact. Now, an agent curates warm leads, so reps start their day ready to sell.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Building prototypes took months. Engineers now use structured markdown to guide an AI IDE in generating standardized code and test cases.
A global B2B travel marketplace aggregates and distributes flight and hotel inventories across more than 100 countries, requiring a scalable architecture to support massive concurrent transactions.
Accelerating international expansion required faster software delivery, but traditional development paradigms were too slow. Building new business...
B2B global travel marketplace for air tickets and hotels.
Cloud computing platform and on-demand infrastructure services.
PKFARE's Software development is part of this use case:
Related implementations across industries and use cases
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
.NET dependencies chained the platform to Windows, blocking new features. Manual migration was out of reach—AWS automated it.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
.NET dependencies chained the platform to Windows, blocking new features. Manual migration was out of reach—AWS automated it.
Manual prospecting across multiple tools delayed first contact. Now, an agent curates warm leads, so reps start their day ready to sell.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.