Developer tools

By 2025, it's predicted that 62% of developers will use AI to quickly learn new programming languages, and 59% will experience efficiency improvements due to AI integration.

Developer tools

experience

Plank teams have delivered AI-native solutions across the developer-tooling stack, including multi-agent orchestration SDKs, fully automated cloud and TEE environments, RAG-powered search engines, AI-enhanced IDE/UI extensions, and end-to-end SDLC documentation and code-review automation.

Developer Tools
AI Agent SDK and Langgraph powered agents
  • Built SDKs using Langgraph for multi-agent orchestration, enabling workflows across diverse AI applications.
  • Developed frameworks for automated agent generation, deployment, error detection, and recovery.
  • Delivered reference implementations demonstrating agent integration into developer and operational workflows.
Cloud automation and codegen environments
  • Used Terraform, Kubernetes, AWS, and e2b to deploy scalable, secure cloud environments optimized for AI code generation.
  • Automated provisioning and scaling of microservices and backends, including Trusted Execution Environments (TEEs).
  • Created self-hostable, enterprise-grade monitoring and continuous deployment infrastructures.
Retrieval-Augmented Generation (RAG) and MCP Servers
  • Implemented high-performance RAG pipelines for indexing and retrieving documentation, repositories, and data.
  • Built MCP-compatible servers to facilitate integration with AI-driven interfaces for real-time knowledge retrieval and code assistance.
  • Developed LLM-powered chat interfaces for developer debugging, coding assistance, and documentation queries.
Dynamic UI and VSCode Extensions
  • Created real-time UI toolkits using Next.js for dynamic rendering of code snippets, architecture diagrams, and analytics.
  • Developed VSCode extensions integrating AI-driven insights directly into developer workflows.
  • Built adaptive documentation systems enhancing accessibility and usability of technical content.
Automated documentation and SDLC
  • Developed automated pipelines converting product specs into design documentation, agile tasks, and code templates.
  • Implemented AI-driven pull request validation, compliance checks, and code review processes.
  • Delivered end-to-end automation covering requirements, development, deployment, and validation.
Enterprise security, compliance, and operations
  • Deployed environments meeting SOC-2, HIPAA, and GDPR standards with rigorous access control, monitoring, and auditing.
  • Conducted security operations including vulnerability assessments, threat detection, and patch management.
  • Provided operational support ensuring reliable, scalable enterprise deployments with high uptime.

Customer Showcase

Near AI

Developer tools
Developer tools

Near AI is building the world’s leading user-owned, open-source AI assistant - along with the models, agent network, and privacy infrastructure behind it - led by a co-author of the groundbreaking 2017 “Attention is All You Need” paper.

Secure, open-source AITP SDK & reference agent:

Delivered Typescript + Python SDKs that implement the new AITP protocol and a demo e-commerce agent that lets users shop Amazon directly from any MCP-compatible chat UI—built with clean architecture, 100 % test coverage, and penetration-tested for production-grade security.

Terraform-based agent infrastructure automation:

Delivered infrastructure-as-code scripts to provision and auto-scale a microservice backend on AWS, including support for Trusted Execution Environments (TEEs)—a complex requirement rarely supported in cloud-native stacks.

AI agent code-generation factory:

Created a multi-agent generator that ingests the AITP spec and outputs a fully functional, self-deploying agent codebase, automatically detecting and fixing type, compile, and runtime errors.

Ongoing open-source support & security ops:

Handled end-to-end maintenance, community triage, and vulnerability patching for Near’s open-source projects, ensuring long-term sustainability and developer trust.

see details

Entelligence

Developer tools
Developer tools
Saas
Saas

Entelligence.ai is an AI platform backed by top-tier VC firm Mayfield Ventures that helps engineering teams with code reviews, documentation, onboarding, and performance tracking, using an AI assistant that contextualizes code with company knowledge from Notion, Linear, Slack, API docs, and more.

Company-wide engineering knowledge search:

Built a RAG pipeline that ingests GitHub code, Linear tickets, Slack threads, specs, and more into Pinecone + Postgres, then powers an AI chatbot that answers how-to, debugging, and code-review queries—scaling to 100 TB/day with 1,000 + elastic workers and thousands of live webhooks.

Dynamic chat UI toolkit:

‍Delivered a Next.js library that streams LLM responses and auto-renders the right component—plain text, code blocks, flowcharts, architecture diagrams, or performance charts—giving engineers rich, context-aware answers in real time.

Docs-to-roadmap multi-agent system:

Converted product requirements into draft design docs and populated Linear boards with ticket hierarchies, then checked pull requests for spec compliance—automating the planning loop from PRD to code.

Secure, self-hostable platform & ops:

Packaged the stack as Terraform for one-click AWS deployment, met SOC-2 & HIPAA via least-access controls and Vanta monitoring, and provided ongoing maintenance across multiple enterprise installations.

see details

Engineers we’ve worked with

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