CodeMender-style systems combine advanced code-aware language models with traditional program analysis to find, generate, and validate fixes for software defects and vulnerabilities. For software companies, these systems offer the potential to dramatically reduce the time between identification and remediation, improve engineering productivity, and harden products at scale — but only when integrated with careful governance, […]

In custom software development, precise documentation is the backbone of predictable delivery. Spec ambiguity, leaking requirements, and out-of-date docs are the usual suspects behind scope creep, rework and missed deadlines. The smart move isn’t to replace people with AI — it’s to combine AI speed with your analysts’ domain knowledge so the documentation that fuels […]

This guide explains a practical, non-technical approach to prompt engineering for product teams.

Ship an AI prototype in seven days without wasting months on engineering overhead.

Practical guide to deploying AI agents in production: architecture, testing, security and agent orchestration patterns for safe, scalable agentic workflows.

Compare GPT-4o, Claude 3, Gemini, Llama, Mistral and Falcon in one practical guide — capabilities, context windows, costs, safety, and deployment advice for CTOs & product teams.