BirdMind v1

Code generation. Reimagined.

BirdMind is BrinPage’s first domain-specific model: built to generate clean, production-ready code that integrates seamlessly into modern applications. Not a general assistant, but a focused engine — designed for companies that need precision, speed, and reliability at scale.

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Trained for products. Not playgrounds.

Most code models generate fragments. BirdMind is trained for complete systems — the frameworks, libraries, and infrastructure that modern companies rely on every day. From secure authentication to data pipelines, from orchestration to UI — it’s built for real-world deployment, not toy examples.

  • Datasets curated from real products and production environments.
  • Understands project structure through AST indexing and retrieval.
  • Optimized for context-aware edits and scalable workflows.
  • Evaluated against industry benchmarks and enterprise use cases.
What BirdMind understands
Modern Web Frameworks
UI Libraries & Design Systems
Relational Databases + ORM
Authentication & Security
Payments & APIs
Orchestration & Queues
Static Analysis & Optimization
Scalable Architecture Patterns

Focused today. Expanding tomorrow.

The system, at a glance.

BirdMind combines retrieval-augmented generation, a fine-tuned coding model, and an execution loop that validates and improves results before returning production-ready code. Each layer is purpose-built to reduce errors, handle complexity, and integrate seamlessly into enterprise workflows.

Schema of BirdMind architecture
Model

Qwen2.5-Coder-14B — a state-of-the-art code model with strong performance on HumanEval, MBPP, and SWE-bench. 32k context window, permissive license, and a balance of capability and efficiency.

Future roadmap: larger variants (32B) if compute allows, or lightweight fallbacks for faster inference.

Training data

Open foundations

  • The Stack v2 — curated OSS corpus
  • CodeSearchNet / MBPP+ — tasks & solutions
  • HumanEval+ / EvalPlus — function synthesis

BirdMind datasets

  • Production repositories with frameworks, databases, auth, and payments
  • Commit diffs capturing issue → change → test
  • Prompt ↔ code ↔ repair traces aligned with development workflows

Focus: not just algorithms, but how real software products are built and maintained.

Training that builds reliable code intelligence

BirdMind is trained to understand and generate real-world applications. The process is divided into three stages: supervised fine-tuning, alignment with developer preferences, and reinforcement guided by execution. Reward signals are derived from passing tests, successful compilation, and clean linting in a secure, isolated environment.

Phase 1 — Supervised Fine-Tuning
Efficient training using LoRA/QLoRA techniques
Learning completion, edits, and Fill-In-Middle workflows
Phase 2 — Preference Alignment
Optimization using correct vs. incorrect solutions
Tests serve as precise evaluators of model output
Phase 3 — Reinforcement with Execution
Policy optimization in secure, isolated sandboxes
Rewards based on successful test passes, compilation, and linting

An agent that accelerates real-world development.

BirdMind operates like your most reliable teammate: it interprets your intent, plans the implementation, generates precise code, and verifies it through automated testing. Any issues are automatically detected and corrected, ensuring production-ready results every time.

Automated TestingStatic AnalysisType CheckingLintingSecure Package ManagementAST IndexingContextual Retrieval
Diagrama of BirdMind architecture
Low-latency performance
BirdMind delivers fast, reliable code generation with optimized inference, ensuring minimal wait times for real-world workflows.
Resource-efficient
Optimized model precision and memory usage reduce compute costs without compromising output quality.
Seamless deployment
Integrate BirdMind into your infrastructure or third-party platforms effortlessly, with full compatibility for API-driven workflows.
BirdMind provides an API-compatible interface for effortless integration into CGM or your existing development tools.

Built for secure execution.

Every action BirdMind performs happens in a tightly controlled environment. Execution is fully isolated with Docker, network access is blocked, and only trusted packages from signed mirrors are allowed. Secrets are detected and blocked before entering the sandbox.

  • Network‑isolated sandbox (seccomp/AppArmor)
  • Package allowlist from signed mirrors
  • Automated secret scanning (truffleHog / gitleaks)
  • Strict resource caps on CPU, memory, and time
Sandbox policy
- No outbound network access
      - Install packages only from signed mirrors
      - Run tests with pytest/vitest; lint with eslint/mypy/ruff
      - Automatic kill-switch on resource cap breach
      - Immutable logs for audit and compliance

OpenAI‑compatible API, ready to integrate.

BirdMind provides a drop‑in API compatible with OpenAI endpoints. Integrate seamlessly with your existing SDKs and workflows—no changes required.

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.brinpage.com/v1", apiKey: process.env.BRINPAGE_API_KEY });

const res = await client.chat.completions.create({
  model: "birdmind-v1",
  messages: [
    { role: "system", content: "Generate code for modern web applications." },
    { role: "user", content: "Refactor the pricing table and add annual billing toggle." }
  ],
  temperature: 0.2,
});

console.log(res.choices[0].message);

Frequently Asked Questions

BrinPage builds developer-first AI tooling. Our first product is CPM (Context Prompt Modules), a SDK + dashboard to manage modular prompts, preview results, and track cost.

CPM lets you split your system prompt into reusable modules (style, facts, playbooks, etc.), attach them only when needed, and preview the final context in real time. It ships with a local dashboard.

Yes. The Free plan includes up to 10 context modules per project, 1 workspace and basic history. Perfect to start and keep prompts lean.

To enforce plan limits and enable sync/history, modules are stored in BrinPage Cloud (encrypted at rest). Your provider keys are never stored by us.

Inference runs with your own key (BYOK) and goes directly to the provider unless you opt into the Managed Proxy. We store the modules you save to your workspace for versioning and collaboration.

Today CPM works with your OpenAI key (e.g., gpt-4.1, gpt-4o-mini, text-embedding-3-small). Multi-provider support is on the roadmap.