Many developers call out MCP as flawed yet rarely offer concrete replacements, creating a vacuum in structured prompt engineering methods.

Despite recent buzz around alternatives, the MCP framework remains central to enabling robust code execution in prompt engineering workflows.

Conducting yearly surveys within your network can track shifts in tool adoption, model preferences, and developer workflows over time.

Startups’ reliance on open source models suggests a market opportunity for specialized fine-tuning services that enhance performance and customization...Show more

Given that most agents in the survey rely on database access over web search, entrepreneurs can differentiate by building AI agents optimized for inte...Show more

Roughly 60–65% of surveyed startups build their products primarily on open source AI models, defying the hype around big proprietary players.

DeepSeek and GPT OSS emerged as early usable open source language models that enabled hands-on development within IDEs.

Startups in the survey report building on open source models like Qwen, Kimi, and GLM for core product capabilities.

LangChain runs an annual State of Agent Survey to capture trends in AI agent development and provide developers a voice in shaping the ecosystem.

Theory Ventures published an AI practice survey of 413 technical startup teams to reveal how they’re building products with AI models.

There is strong demand for a Gemini diffusion model release, suggesting an opportunity to prioritize and monetize advanced image diffusion capabilitie...Show more

Current US-based open source models like Cogito 2.1 are significantly behind state-of-the-art offerings, though leading companies are increasingly ope...Show more

T2 bench is specifically designed to evaluate conversational agents in a dual-control environment rather than raw compute performance.

Google’s internal computer model performance is evaluated entirely using screenshots, indicating a visual-based benchmarking methodology.

Cogito 2.1 is a 1.5 terabyte US-based open source LLM available on Ollama with notably poor benchmark results compared to leading models.

Adopting AI models is easiest in browser workflows, suggesting browser-embedded experiences can drive faster developer switch-overs than IDE plugins.

Cognition acquired Windsurf’s core team—poaching its top engineers and founder—to smooth the development of their Anti Gravity platform.

Build a single marketplace for developer extensions and AI skills—mirroring Anti Gravity’s vision—to simplify discovery and integration of cloud code ...Show more

Gemini’s overperformance on ARC AGI-2 versus ARC AGI-1 suggests uneven task alignment and warrants deeper analysis of benchmark design.

Coding use cases hinge critically on performance in the SWE bench, making it the primary metric for developer-focused AI model selection.