Boundary

We decided to make our function-calling benchmark results fully public and interactive!

@shill_collin go's threading model is so clean

@boundaryML `go func()`

Whats your favorite language feature and why is it match?

Looking for designers who have Blender experience! Will pay ~$500 for a single asset

RT @anishpalakurT: Hiring an absolutely cracked video editor for something big @boundaryML... DM me and follow so I see it! 👇

If you read papers like this for fun you'll fit right in @boundaryML Join us, we're growing

syntax makes a huge difference to how good coding agents are, and languages should be rethought. some great learnings from rust and go! great post by @aaronvi

@cursor_ai 30% agent-written PRs is crazy. We're betting on the same future of self-driving codebases. Gardens you tend > repos you commit to. As agents write more, we think they need a more cooperative language. That's why we're making one 🔥 github.com/BoundaryML/baml

Cursor now shows you demos, not diffs. Agents can use the software they build and send you videos of their work.

Hot take: building agents without BAML in 2026 is like training models without Jupyter notebooks in 2020. Technically possible? Sure. But why would you torture yourself? Type-safe prompts. Instant playground testing. Multi-language support. promptfiddle.com

@mattpocockuk AI in production is hard! #2, #4, and #6 resonate. It changed our brains too, so we built a programming language ;)

I have been at 100% AI-contributed code for a few months now. Here are 9 ways it's changed my brain: 1. WAY more time thinking about integration testing 2. Friction via pre-commit hooks/CI/strong types is now super desirable 3. AI has no taste for UI, prototype extremely aggressively before committing to a PRD 4. AI has no taste for software architecture, be extremely explicit about the modules you want and think about their interfaces 5. Deep, grey-box modules with simple interfaces are the KING - let AI control what's in the box to decrease your cognitive load 6. Huge reliance on Effect.ts for dependency injection and strongly typed errors 7. Much more meta-programming, turning my skills into repeatable SOP's 8. First I thought MOAR DOCS = BETTER but 'doc rot' is real. Better to just let the AI generate JIT docs during plan mode. 9. Much higher cognitive load to keep up with the changes the LLM makes to the codebase

This is what we're building. BAML — the first language designed for AI-native software. promptfiddle.com

@theabhimanyu @zeddotdev Glad you like it!

Thanks for the fix, @boundaryML. Finally, I can use BAML on @zeddotdev and put VSCode to rest. BAML ships on Fridays 🔥 youtube.com/watch?v=AmuT-4…

🤝@zeddotdev

@StriftCodes @vercel thanks for this! if you're ok with this, we may point our docs to this as well!

How to bundle BAML by @boundaryML + Nitro for @vercel deployment

In the next version of BAML (0.215.0), you will be able to optimize your prompts using GEPA `uv run baml optimize`. Thanks to @imalsogreg

Cool tutorial with end-to-end structured extraction for Patient intake forms using #BAML @boundaryML + @cocoindex_io. Production-grade, Fully #OpenSource. get started: 🔗 cocoindex.io/blogs/extracti… repo: 🌟 github.com/cocoindex-io/c… > BAML defines a typed Patient schema + role-correct PDF prompt (critical for OpenAI providers). > CocoIndex orchestrates file input, transformation, and incremental indexing. 📄 What the tutorial covers •  Defining a FHIR-inspired patient schema in BAML •  Configuring Gemini 2.5 Flash for structured extraction •  Generating the Python client with baml-cli •  Writing a CocoIndex flow that ingests PDFs, calls the BAML function, and exports to Postgres •  Leveraging incremental processing + caching for real-world scale •  Debugging lineage using the CocoInsight UI (now in free beta) #LLM #KnowledgeGraph #RAG #GraphDatabase #GraphAI #OpenAI #AIInfra #DevTools #DataPipelines #RealtimeAI #VectorDB #LLMApplications #GenerativeAI #AIEngineering #Python #AI4Docs #SemanticSearch #Rust #cplusplus

We're making a programming language for AI in Rust. youtu.be/wD3zieaV0Yc?si…

check out @boundaryML

Amazing combo of #opensource @cocoindex_io and @boundaryML to build resilient, live structured extraction in LLM data flows. Fully open source, link in comment!

@highwayvaquero this is awesome :) Wanna help us do ruby right with BAML? would love to include something in the official package and top off our ruby support

I put the @boundaryML and JSON Schemas payloads side by side. Turns out that BAML is much lighter to serialize and parse. Aggregate (all tests): 84.4% reduction - 🔴 JSON Schema: 632 tokens - 🟢 BAML Schema: 99 tokens Use BAML in your Ruby apps with github.com/vicentereig/so…

How many tokens you save when using @boundaryML over JSON Schemas? I was surprised! In this DSPy.rb Signature the Output Schema is made out of just 6 fields. Full example + code: vicentereig.github.io/dspy.rb/blog/a… Curious to see the side-by-side payloads?