Nearshore Software Development
From AI Prototype to Production-Ready: How AgilityFeat Stabilized FarmGAP in 4 Weeks
AI-generated code stabilization is becoming one of the most critical steps in modern software development as AI-built prototypes grow more common. After AgilityFeat conducted a technical audit of the FarmGAP AI-built POC, the findings...
Running Open Source LLMs on AWS: Bedrock, SageMaker, EKS, and EC2
Open source LLMs have grown up. Models like Llama 4, Mistral, and DeepSeek now go toe-to-toe with commercial options like GPT, Gemini, and Claude on real-world tasks like code generation, summarization, document analysis, and customer...
3 Situations Where a Dedicated MVP Development Team Is the Right Call
Not every software challenge calls for the same solution. Some projects need a long-term embedded team. Some need a full-service development team for larger-scope, end-to-end delivery at enterprise scale. And some simply need a small,...
Building an Agentic Software Delivery Platform: AgilityFeat’s Work with Compounds.dev
AgilityFeat worked with an AI-native enterprise software startup, Compounds.dev, to implement and validate a Minimum Viable Product (MVP) for their software delivery platform. The platform combines spec-driven development, codebase...
How a Technical Audit Turned FarmGAP’s AI-Built POC into a Stable Beta Product
The FarmGAP application was a promising AI-built proof of concept that had not yet been put into use. Before the platform could move toward launch, SG Farm Services needed a technical audit to assess the codebase, surface security and...
Spec-Driven AI Integration: Automating Complex Workflows with MCP and Agentic Tools
Spec-driven AI tools automate complex workflows by first generating detailed specifications. These are clear, step-by-step plans that humans review before executing them precisely, minimizing errors across industries like software...
Layered AI Guardrails for Enterprise AI Agents
When AI agents interact with live systems and sensitive data, safety can’t rely on a single model or moderation filter. True protection comes from layered guardrails: a structured stack spanning model-level safety, structured tool...
Proof of Value vs. Proof of Concept in the Age of AI
If it’s true that AI allows us to build anything, and to build it more efficiently than ever before, are we entering an age of software abundance? Or are we about to experience a deluge of useless software that no one actually needs? The...
Nearshore MVP Development: From Startup POCs to Enterprise Innovation
Both startups and established enterprises use MVPs and POCs to validate ideas before committing to full-scale builds. AgilityFeat’s expert nearshore software development services offers a way to experiment quickly while keeping costs and...
2 Week Hybrid AI POC: Prototyping a Startup Concept with Smart Integrations and the Right Use of AI
Client: Worksource (AI Startup Concept) | Industry: HR Technology | Project Type: Hybrid AI Proof of Concept | Timeline: 2 weeks "Working with [the AgilityFeat team] was great. It is amazing to tell someone the idea you have in your head...
Best Practices for AI-Assisted Software Development
Integrating AI development tools like Cursor, Cline, and GitHub Copilot into your software development workflow promises speed and productivity. But without best practices, it can also create security vulnerabilities, technical debt, and...
Voice AI for Fintech, Healthcare, and Regulated Industries: Architecture for Production Systems
This post is grounded in two working Voice AI demos our expert AI integrations team built to explore how authority, execution, and human-in-the-loop control actually behave in production. If you are automating customer support in a...
Compliance Automation in AWS: Using AWS Security Hub to Streamline Security Standards
For any enterprise running applications on AWS, achieving and maintaining compliance is a constant, complex battle. In this context, compliance means continuously aligning your AWS accounts and resources with security standards and...
When Does a Serverless MVP Approach Work Best?
When building a Minimum Viable Product (MVP) for a client, we prioritize two things: speed to market and cost efficiency. But moving fast often comes at the expense of building a scalable, robust foundation. This creates a common dilemma...
Using an Evidence-Driven Approach to Build Applications Customers Actually Want (David Bland on the Scaling Tech Podcast)
Most engineering leaders know the feeling of staring at a long feature roadmap and quietly asking, "Do we know if any of this will matter to customers?" Evidence-driven engineering is about refusing to guess, and insisting on proof. In a...
Externalizing Business Rules: Why Choose DecisionRules.io Over Custom Code
Want to work with great nearshore engineers like Alice? Get in touch. Businesses in financial services, insurance, and e-commerce all rely on complex decision logic to automate approvals, pricing, and compliance. Traditionally, these...
Blending People, Processes, and New Tech for Faster Software Delivery
Modern engineering teams are recalibrating how they deliver software by balancing speed, safety, and culture. In The Evolution of DevOps: Automation, Scale, and the AI Frontier (Episode 59 of the Scaling Tech Podcast, proudly sponsored by...
Five Tips for Integrating LLMs into Software Products
LLMs unlock unparalleled functionality, but moving AI solutions from prototype to production comes with unique technical demands. Streaming responses must remain fast and coherent. Multi-step agentic workflows are needed to orchestrate...
AI Video Editor Development: Building Verbolo’s Intelligent Content Creation Platform
Millions of content creators face a frustrating dilemma: professional video editing software is too complex for casual use, while simplified alternatives lack the features needed for quality production. This gap leaves creators struggling...
Deploying AI Agents in Production with AWS
AI agents have moved past experimental stages into production systems, where deployment introduces distinct engineering and operational challenges. These agent deployment issues can include increased latency, scaling failure, unsecured...
AgilityFeat Becomes DecisionRules.io Development Partner
We're excited to announce that AgilityFeat is now an official development partner for DecisionRules.io, authorized to build custom DecisionRules implementations for businesses worldwide. This partnership combines our advanced application...
Building Investable AI Startups: The Value of Nearshore Development Partners
Building an investable AI startup requires more than just a great idea. It requires the right team and the right execution. Investors are asking tough questions about profitability, defensibility, and scalability. And increasingly, your...
Nearshore QA Spotlight: Nicolás Guido, Senior QA Engineer
At AgilityFeat, we know that quality assurance is not just about finding bugs, it’s about making products more reliable, usable, and enjoyable for customers. That’s why we’re excited to spotlight Nicolás Guido, a senior nearshore QA...
Building Enterprise Growth and Innovation: A 13-Year Nearshore Staffing Success Story
In December 2012, AgilityFeat received a call from an experienced entrepreneur in the logistics industry seeking a team to build a proof of concept for an innovative real-time data dashboard. This marked the beginning of a business...