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For EmployersHow to Set an AI Policy That Protects Your Code and Company Culture
Eugene GarlaVP of Talent
Artificial Intelligence Insights
Most companies have no AI policy. The ones that do rarely enforce it. A strong workplace AI policy defines clear rules, protects your data, and gives employees the confidence to use AI without putting your company at risk. Here's how to build one that works.
For EmployersWhy Employee Engagement Is Falling in the AI Era, and How to Fix It
Elena BejanPeople Culture and Development Director
Remote WorkArtificial Intelligence
AI will automate routine work and shift where human judgment matters. This post shows leaders how to reframe AI, redesign roles, invest in learning, build trust, and recognize impact — with concrete actions you can run today.
For EmployersThe New Tech Workforce: 10 Roles in Highest Demand Over the Next 10 Years
Mihai GolovatencoTalent Director
Tech HiringArtificial Intelligence
The fastest-growing tech jobs aren't just emerging from AI. They're being created by a broader shift toward automation, cybersecurity, intelligent systems, and data-driven decision making.
For EmployersHuman-Centered HR in the AI Age: Best Practices
Elena BejanPeople Culture and Development Director
Tech HiringArtificial Intelligence
AI can make HR faster, but it should never replace human judgment. Here's how HR leaders can use AI to improve hiring, employee experience, and decision-making while keeping trust, empathy, and meaningful work at the center.
For EmployersWhy Most AI Gets Stuck in Pilot Mode and What the Best Teams Do Differently
Eugene GarlaVP of Talent
Artificial Intelligence
Most AI projects fail because they stay as pilots with no real product design, ownership, or workflow redesign. The 5% win by treating AI as a product, redesigning workflows, and investing in the right talent, infrastructure, and partners.
For EmployersHow GenAI Transforms Software Development in 11 Ways (2026)
Mike SokirkaCEO
Artificial Intelligence
11 generative AI use cases transforming software development in 2026, from AI code review to agentic coding, plus the risks, current models, and a strategy checklist.
For EmployersGemini vs Claude for Coding in 2026: Which AI Writes Better Code?
Andi StanVP of Strategy & Product
Artificial Intelligence
or real-world coding in 2026, Claude Opus 4.8 is the stronger default. It leads SWE-bench Verified 88.6% to Gemini 3.1 Pro's 80.6% and produces cleaner, more compliant code. Gemini wins on raw speed and price ($2/$12 vs $5/$25 per 1M tokens). Pick by workflow, not hype.
For EmployersDeepSeek vs. ChatGPT in 2026: Which AI Model Wins for Your Team?
Alina PohilencoData Manager
Software DevelopmentArtificial Intelligence
A 2026 head-to-head of DeepSeek and ChatGPT across performance, cost, user experience, and production fit, with current benchmarks and a decision matrix for engineering teams.
For EmployersModernizing Legacy Systems: 3 Core Strategies in the Age of AI
Mike SokirkaCEO
Software DevelopmentArtificial Intelligence
Legacy systems consume up to 80% of IT budgets while blocking AI adoption, slowing delivery, and widening the gap with competitors. The fastest path forward is choosing the right strategy: layer AI on top, reengineer the core, or rebuild workflows. What matters most is how you execute.
For EmployersPerplexity AI Features and Statistics 2026: What You Can Actually Do
Mike SokirkaCEO
Artificial Intelligence
In 2026 Perplexity AI runs an estimated 1.2 to 1.5 billion queries a month across 238 countries, carries a roughly $20 billion valuation, and answers with live citations. This report covers its traffic, users, accuracy, revenue, 2026 model lineup, and the free Comet browser, plus what it all means for hiring AI engineers.
For EmployersHow Index.dev Uses AI and Senior Engineers to Cut Development Costs by Up to 60% and Multiply Delivery Speed
Eugene GarlaVP of Talent
Software DevelopmentArtificial Intelligence
AI Assisted Development is a new way to build software where AI does most of the execution and senior engineers own the gates. It lets teams ship up to 5x faster and cut build costs by as much as 60% while keeping enterprise grade stability and security.
For Developers6 Honest Lessons About AI and the Future of Engineering Careers from Our Talent Network
Natalia MunteanuAccount Manager for Developers
Artificial Intelligence Programming
AI is changing software engineering faster than most people expected. After speaking with engineers from our Talent Network™, a few clear themes emerged: judgment now matters more than writing code, engineers who can work across the full stack are gaining ground, and owning outcomes is becoming the most important skill of all.
For Employers10 Best AI Agents for Coding & Software Development in 2026
Alexandr FrunzaBackend Developer
Artificial Intelligence
TL;DR: The ten AI coding agents shipping the most production work in 2026 are Devin 2.0, Cursor Composer, Claude Code, Windsurf (formerly Codeium), Qodo, GitHub Copilot agent mode, OpenAI Codex CLI, Aider, ChatDev, and Postman.
For EmployersHow Engineering Capacity Impacts Product Delivery (Data Study)
Diyor IslomovSenior Account Executive
Software DevelopmentArtificial Intelligence
This article explains how engineering capacity impacts product delivery speed, quality, and stability using real data. It shows the gap between high and low performing teams and covers the role of AI, workflow, and team structure in improving delivery outcomes.
For Employers5 Core Elements of Successful AI Adoption: What the Best Teams Do Differently
Elena BejanPeople Culture and Development Director
Artificial Intelligence Insights
Most companies use AI, but few get real results. The difference comes down to five things: skills, capital, data, processes, and culture. Get these right, and AI moves from experiments to real impact.
For EmployersThe 6 Barriers Blocking Enterprise AI Adoption and What Leaders Can Do
Eugene GarlaVP of Talent
Artificial Intelligence Insights
AI adoption fails for predictable reasons: weak talent, poor data, unclear strategy, and lack of governance. Fix these, and AI starts delivering real value. Ignore them, and it stays a costly experiment.
For EmployersTop 5 Mercor Alternatives: Where AI Teams Go for Talent in 2026
Daniela RusanovschiSenior Account Executive
Alternative Tools Artificial Intelligence
Most AI hiring platforms optimize for speed through automation. The tradeoff is often less control and higher risk. This guide shows which Mercor alternatives give you both speed and trust, and where each one fits.
For EmployersHow AI-Native Software Is Changing Every Industry
Eugene GarlaVP of Talent
Software DevelopmentArtificial Intelligence
AI-native apps are software products built with artificial intelligence at their core, where AI drives logic, user experience, and decision-making. From healthcare to finance, they learn, adapt, and improve continuously, delivering faster, smarter, and more secure experiences.
For EmployersHow Specialized AI Is Transforming Traditional Industries
Ali MojaharSEO Specialist
Artificial Intelligence
Artificial intelligence is changing how traditional industries work. Companies are no longer relying only on general skills. Instead, they are using AI tools and specialized experts to improve productivity, reduce costs, and make better decisions.
For EmployersBest MCP Servers to Build Smarter AI Agents in 2026
Alexandr FrunzaBackend Developer
Software DevelopmentArtificial Intelligence