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Harrison Chase

05/28/25

@ LangChain

We're launching open-source evaluators that simplify the process of evaluating code, retrieval-augmented generation, extraction, and tool calling, making it easier for developers to get started.

Video

How to Solve the #1 Blocker for Getting AI Agents in Production | LangChain Interrupt

@ LangChain

How to Solve the #1 Blocker for Getting AI Agents in Production | LangChain Interrupt

05/28/25

Related Takeaways

Harrison Chase

05/28/25

@ LangChain

There are three types of evaluators: deterministic code-based evaluations, LLM-as-judge techniques for more complex assessments, and human annotation for real-time feedback.

John Ousterhout

04/09/25

@ The Pragmatic Engineer

AI tools will make it easier to generate low-level code, improving autocomplete capabilities and potentially producing high-quality code.

Andrew Ng

05/29/25

@ LangChain

Many developers overlook the importance of creating simple evaluations, which can help identify regressions and improve system performance incrementally.

Thomas Dohmke

04/09/25

@ EO

AI tools like GitHub Copilot make software development more accessible and significantly increase developer productivity by reducing the time needed to implement ideas.

Anthropic Cast

06/11/25

@ Anthropic

These tools can serve as valuable educational resources, helping developers learn and iterate quickly, which ultimately enhances their programming skills over time.

Satya Nadella

05/22/25

@ Rowan Cheung

The rise of AI tools is addressing the software development deficit, allowing for more efficient code generation and management.

Scott Clark

05/23/25

@ a16z

The emergence of generative AI has led to more collaborative and expansive applications, requiring new approaches to testing and evaluation.

Merrill Lutsky

04/15/25

@ EO

In the generative AI era, the way we interact with code generation tools is evolving, resembling more of a code review process than traditional coding methods.

Y Combinator Cast

11/01/24

@ Y Combinator

Founders are leveraging advanced coding assistants, indicating a shift in how software development is approached, with tools like Cursor gaining popularity over GitHub Copilot.