For EmployersFrom 1 to 100+ Engineers: The Hard Truth About Scaling Engineering TeamsTech HiringInsights
Scaling an engineering team from 1 to 100 requires more than hiring fast. Each stage demands different leadership, processes, and hiring decisions. This guide explains the stages of engineering growth and how startups can scale teams, avoid common mistakes, and build strong remote organizations.
Mihai GolovatencoTalent Director For Employers7 Best Programming Languages for Game Development in 2026Software Development
C++, C#, Rust, and more. Discover the 7 best programming languages for game development in 2026, with engine compatibility, key features, and popular game examples
Alexandr FrunzaBackend Developer For EmployersHow Enterprise Engineering Teams Are Structured (Data Study)Tech HiringInsights
This listicle roundup explains how enterprise engineering teams are structured using real data. It covers leadership models, team size, role ratios, and how companies scale with small teams. It also shows how structure, ownership, and internal tools help improve speed, productivity, and delivery.
Eugene GarlaVP of Talent For EmployersTop 5 Mercor Alternatives: Where AI Teams Go for Talent in 2026Alternative 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.
Daniela RusanovschiSenior Account Executive For EmployersHow AI-Native Software Is Changing Every IndustrySoftware 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.
Eugene GarlaVP of Talent For EmployersWhy High Retention of Engineering Talent is the Hidden Advantage Your Projects NeedTech HiringInsights
High engineer retention is a direct multiplier on your team's speed, output, and cost efficiency. Replacing a developer can cost up to 150% of their salary, and that's before counting the lost context, the delayed sprints, and the months of ramp-up time. Here's what retention actually does to your bottom line, and how Index.dev makes it the default.
Mihai GolovatencoTalent Director For EmployersTech Employee Layoffs 2026: Trends, Numbers & CausesTech 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 IndustriesArtificial 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 FundingTech 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 Employers9 IT Staff Augmentation Trends Shaking Up 2026Tech 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 MovesSoftware 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 2026Software 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 ModelsArtificial 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 EnterpriseArtificial 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 2026Software 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 
Pallavi PremkumarTechnical Content Writer
Elena BejanPeople Culture and Development Director