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Learn the best practices for vetting software developers, including technical skills, soft skills, culture fit, and more.

Radu PoclitariCopywriter

For DevelopersWhat If AI Could Tell QA What Your Pull Request Might Break?

Software Development

QA engineers face high-pressure decisions when a new pull request arrives—what should be tested, and what could break? This blog shows how AI can instantly analyze PR diffs, highlight affected components, and suggest test priorities.

Mehmet Serhat Ozdursunauthor

For EmployersTech Employee Layoffs 2026: Trends, Numbers & Causes

Tech HiringInsights

This guide analyzes verified tech layoff data from 2020 to 2026. It covers global workforce reductions, industry-wise impact, country distribution, yearly trends, and the main drivers such as AI adoption, restructuring, and budget constraints shaping employment shifts.

Eugene GarlaVP of Talent

For EmployersHow Specialized AI Is Transforming Traditional Industries

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.

Ali MojaharSEO Specialist

For EmployersHow to Scale an Engineering Team After Series A Funding

Tech HiringInsights

Most Series A founders hire too fast, in the wrong order, and regret it by month six. Here's the hiring sequence that actually works, and the mistakes worth avoiding before they cost you a Series B.

Mihai GolovatencoTalent Director

For EmployersHow Dublin Digital Agency All Human Built a Flexible Engineering Team Across Multiple Client Projects

Case Study

All Human needed flexible engineering support to run multiple client projects without overloading their core team. By embedding experienced engineers from Index.dev, they achieved continuity, speed, and deep project knowledge while staying agile.

Daniela RusanovschiSenior Account Executive

For DevelopersTop 19 Productivity Apps for Software Developers

Discover 19 must-have apps to improve developer productivity, collaboration, and workflow in 2026.

Alexandr FrunzaBackend Developer

For Employers9 IT Staff Augmentation Trends Shaking Up 2026

Tech HiringOutsourcing

Hiring in 2026 is about flexibility, AI-native talent, and speed. IT staff augmentation helps companies fill critical skill gaps, control costs, and scale fast, without long hiring cycles.

Daniela RusanovschiSenior Account Executive

For EmployersSpeed Up Software Project Delivery: 7 Proven Leadership Moves

Software DevelopmentInsights

Most software projects run late not because of poor talent, but poor systems. These seven steps give tech leaders a practical playbook to accelerate delivery, protect quality, and ship with confidence.

Mihai GolovatencoTalent Director

For EmployersBest MCP Servers to Build Smarter AI Agents in 2026

Software DevelopmentArtificial Intelligence

AI agents are useless without system access. MCP servers are the execution layer that connects agents to APIs, databases, GitHub, cloud platforms, and workflows—securely and at scale. This guide breaks down the top MCP servers powering production-ready AI agents in 2026.

Alexandr FrunzaBackend Developer

For EmployersThe Global Rise of Chinese Open Source AI Models

Artificial Intelligence

Chinese open source AI models are leading. Qwen alone crossed 1 billion downloads, powers 80% of US AI startups, and has spawned 200,000+ derivative models. The open source AI race has a new frontrunner.

Alexandr FrunzaBackend Developer

For EmployersKimi 2.5 vs Qwen 3.5 vs DeepSeek R2: Best Chinese LLMs for Enterprise

Artificial Intelligence

We compare Kimi 2.5, Qwen 3.5, and DeepSeek R2 using real enterprise tasks. This guide highlights their strengths in business analysis, backend engineering, and European expansion strategy to help you choose the right model.

Ali MojaharSEO Specialist

For EmployersTop 6 European Large Language Models (LLMs) to Watch in 2026

Software DevelopmentArtificial Intelligence

Europe isn't trying to out-compute OpenAI or outspend China. It's building LLMs that values privacy, multilingual parity, and regulatory compliance over raw benchmarks. Six models—Mistral Large 3, Minerva, PhariaAI, etc.—prove you can have frontier performance without sacrificing data sovereignty.

Eugene GarlaVP of Talent

For Employers7 Best Platforms to Hire LATAM Developers in 2026

Quick recommendation: For dedicated LATAM developers with long-term retention, Index.dev offers 95% retention rates and 48-hour matching. For enterprise-scale outsourcing, BairesDev handles full team management. For compliance-heavy hiring across multiple LATAM countries, Revelo manages payroll and local employment law.

Elena BejanPeople Culture and Development Director

For EmployersFrom Autocomplete to Agentic Workflows: The Complete Guide to AI-Assisted Development (AIAD)

Software DevelopmentArtificial Intelligence

Software development is expensive, slow, and cognitively heavy. Deadlines strain quality, and technical debt builds quietly. AI-assisted development shifts that dynamic—not by replacing engineers, but by removing friction. This guide explores how AI fits into the SDLC, the tools leading teams use, and what responsible, high-impact adoption really looks like.

Eugene GarlaVP of Talent

For Employers12 Ways HR Teams Use Search and Content to Reach High-Intent Candidates

Tech HiringFreelance

Cold outreach is losing effectiveness. The smartest HR teams now attract high-intent candidates through SEO, AI-optimized content, and search intent strategies. Instead of chasing talent, they build content that gets discovered first.

Elena BejanPeople Culture and Development Director

For EmployersSmall vs Large Language Models: The 2026 Reality Check

Software DevelopmentArtificial Intelligence

In 2026, the best AI model isn’t the biggest one. It’s the one that fits your constraints. Small language models now match older LLM performance at a fraction of the inference cost. The real advantage is building a team and architecture flexible enough to adapt.

Alina PohilencoData Manager

For EmployersTop 8 AI Tech Trends That Will Define 2026 [Expert Insights]

Artificial Intelligence Insights

AI is moving from experimentation to impact in 2026. Smaller domain-specific models are replacing generalists, AI agents are moving from solo assistants to orchestrated teams, and synthetic data is becoming the default training fuel. The winners won't be those who adopt AI first, but those who architect their systems around AI from the ground up.

Elena BejanPeople Culture and Development Director

For EmployersAI Market Value Forecast & Tech Spend Trends (Big Tech + Enterprise)

Artificial Intelligence Insights

The AI market is exploding from $391B in 2025 to potentially $2.4T by 2030. Big Tech is betting over $1 trillion on AI infrastructure while 68% of CEOs increase AI budgets despite half of all projects failing to pay off. The money is flowing fast, but smart allocation separates winners from wasteful spenders.

Tatiana UrsuLinkedIn Outreach Director

For Employers7 Best AI Tools For Deep Research [2026]

Artificial Intelligence

Six AI research tools for different needs: Perplexity for quick cited answers, ChatGPT for deep explanation, Elicit for literature reviews, Consensus for science-backed yes/no answers, Scite for citation validation, and Research Rabbit for visually mapping paper networks.

Ali MojaharSEO Specialist

For EmployersTop 10 VC Funds in 2026 and Where They Invest

Insights

Ten VC funds control nearly $400 billion—and they're not all looking for the same thing. Tiger wants proven traction, Sequoia backs category creators, and A16z builds ecosystems around portfolio companies. Your odds of getting funded depend less on your idea and more on pitching the right tier at the right stage.

Daniela RusanovschiSenior Account Executive

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