Multi-session chat
Run multiple agent sessions as tabs, keep conversations persistent, restore after restart, and receive notifications when background work completes.
The ABP AI Coding Agent lives inside ABP Studio and works across your solution: planning, editing, building, running migrations, diagnosing runtime errors, and keeping every change Git-safe.
Cursor, Windsurf, Claude Code and Antigravity are strong general-purpose AI coding tools. ABP AI Coding Agent is positioned differently: it is framework-native for ABP teams.
From first question to safe implementation, the agent works with the same ABP Studio context your team already uses.
Run multiple agent sessions as tabs, keep conversations persistent, restore after restart, and receive notifications when background work completes.
Use Agent for autonomous execution, Plan for approval-first implementation plans, and Ask for read-only guidance.
The agent sees your ABP modules, services, DTOs, permissions, localization and active run profile before it starts working.
Indexing and semantic code search help the agent find relevant code across large solutions and external folders.
Inject project conventions, shared team workflows, reusable skills, and learned lessons into future sessions automatically.
Read exceptions, logs, requests and distributed events from ABP Studio's monitor to debug real running applications.
Start and stop apps, containers and run-profile tasks, then inspect logs or return failed output directly to the chat.
Generate C# and Angular proxies, install client libraries, add EF Core migrations, and target builds by module or package.
Review diffs, generate Conventional Commit messages, send GitHub issue or PR context to the assistant, and revert agent turns with snapshots.
Use the same agent for Q&A, planning and implementation without switching tools.
Read-only answers for architecture questions, ABP usage, code exploration and troubleshooting guidance.
Customize every aspect of your AI workflow. From selecting the most powerful LLMs to defining strict operational rules, you are in the driver's seat.
Connect your workspace to top-tier LLM providers instantly. Choose between Claude, GPT, Gemini, or DeepSeek and build your core infrastructure with elite models.
Inject custom guardrails and precise instructions. Create specialized behavioral prompt rules that shape exactly how your agent handles files, code style, or communication.
Keep your performance high and costs low. Assign heavy models for complex reasoning tasks, while automatically routing simpler tasks to lightweight, rapid models.
Seamlessly upload your markdown skill libraries. Your AI will dynamically discover and fetch these skills only when required, protecting the core context scope.
The agent combines natural-language requests with ABP-specific context, local RAG, tools, runtime signals and Git safety.
The prompt includes solution structure, selected AI scope, workflow, AI rules and active plan.
It can use semantic code search, ABP docs, web-search and read-only research subagents.
Builds, migrations, proxies, containers, apps and tasks are handled from the same chat flow.
Runtime monitor data and Git snapshot rollback make debugging and safe iteration easier.
See the full delivery loop inside ABP Studio — issue intake, AI review, feedback and PR creation without context switching.
Use the agent like a teammate who understands ABP conventions and your solution structure.
// Feature implementation Create a plan to add subscription billing to the SaaS module. Include entities, permissions, application services, UI changes, migrations, proxy generation and tests. Do not edit files until I approve.
// Runtime debugging Start the AuthServer and Web app, reproduce the failing login request, inspect exceptions and logs, then propose the smallest safe fix.
// ABP-specific maintenance Add an EF Core migration for the new OrderStatus field. Detect the correct startup project, run the migrator task, generate C# and Angular proxies, then build affected packages.
// Controlled refactoring Use the Payments AI Scope only. Refactor duplicated validation logic into a domain service. Follow our team AI rules and create a Git-safe snapshot first.
AI agents are powerful because they can act. ABP Studio adds practical controls so teams can move fast without handing over the whole workspace blindly.
Not yet, but it is coming soon for Enterprise plans. Enterprise customers will be able to use bring your own key (BYOK) and connect OpenAI-compatible custom LLM providers, including organization-approved providers or self-hosted OpenAI-compatible endpoints. Until then, all plans use the models provided through ABP AI credits. See our pricing page for license options.
No! The Agent runs locally in ABP Studio. Your prompt and the code context it carries go from Studio straight to the LLM provider that serves the model you selected so your requests and responses are not transmitting over ABP or Volosoft servers. And the chat history Studio keeps is stored locally on your machine, per solution.
No! Your code never comes to ABP/Volosoft servers therefore we don't use your code for anything. Also we don't permit LLM providers to train their models with the context you provide.
When an LLM generates code, this is under your responsibility to check it against different topics including licensing. We provide you popular LLM providers in the market and you agree their terms and conditions. We suggest you always review the generated code for security, licensing, scalability and maintainability.
Credits are purchased and tracked per organization. Organization owners can see the full AI credit balance, purchase history, and usage of all members on the Organization Management page. Developers can see the organization's remaining credit balance and their own usage on the My Organization page; they cannot see other members' usage. When AI credits are running low or completely exhausted, a warning email is sent to the organization owner and all developers in the organization. Organization owners can configure the warning email threshold on the Organization Management page.
The goal is not to replace every AI coding tool. The goal is to give ABP teams an agent that works natively with ABP Studio and ABP Framework conventions.
| Capability | ABP AI Coding Agent | Generic AI coding tools |
|---|---|---|
| ABP solution awareness | Built in — modules, DTOs, permissions, localization, DbContexts and run profiles. | Usually inferred from files or docs supplied as context. |
| ABP docs-first answers | Built in — dedicated ABP documentation subagent. | Often relies on general web search, project files or model memory. |
| ABP CLI actions | Built in — proxies, install-libs, EF migrations and targeted builds. | Possible through terminal commands, but not ABP-native by default. |
| Runtime monitor access | Built in — exceptions, logs, HTTP requests and distributed events. | Typically requires custom setup, terminal logs or external integrations. |
| Plan-driven ABP development | Built in — persisted plan documents and live step states. | Available in some tools, but not tied to ABP Studio plan storage. |
| Git-safe rollback per turn | Built in — Git snapshot revert retained for short-term recovery. | Varies by product; many rely on normal Git history/checkpoints. |
“For developers, it reduces context switching. For product managers, it shortens the path from feature request to tested implementation plan.”
ABP AI Coding Agent is not just a productivity layer for developers. It helps teams standardize implementation plans, preserve project knowledge, reduce repeated mistakes through learned lessons, and make delivery status easier to inspect.
Clear answers for developers, team leads and product managers.
No. ABP AI Coding Agent is positioned as an integrated agent experience inside ABP Studio, not as a separate IDE.
Yes, in Agent mode. Use Plan mode when you want an approval-first workflow, or Ask mode when you only need read-only answers and guidance.
It receives ABP-aware context before execution. The agent can work with ABP solution structure, search official ABP docs through a dedicated subagent, and use tools tailored to common ABP development tasks.
Yes. AI Scopes, .abpignore, project rules, workflows, permission prompts and Git snapshots help teams control context and risky operations.
Not necessarily. Those are broad AI coding tools. ABP AI Coding Agent is designed for ABP Studio users who want ABP-native context, workflow control and lifecycle automation.
Yes. You can use ABP Studio with any ABP version.
AI credits are purchased per organization. To buy AI credits, go to the organization page, select the organization you want to purchase credits for, and complete the credit purchase there.
Start with a plan, approve the work, let the agent implement, build, diagnose and recover safely inside ABP Studio.