Stop Paying Tokens for Context Your IDE Already Knows.
Let AI Drive Your IDE Tools Directly.
An agent that works like a senior developer
Explyt uses the facts your JetBrains IDE already knows.
That means fewer guesses, fewer tokens and safer changes.
01
Builds a precise picture of the codebase before the first edit and uses precise IDE refactorings.
Find real symbol usages, implementations and call hierarchies through the IDE
Inspect the exact dependency version, including source and decompiled code
Rename, move, and safely delete with IDE refactorings
02
Uses your environment and debugger to investigate real behavior instead of hallucinations.
Set and hit breakpoints in the configured application
Inspect live variable values
Follow the call stack back to the cause
03
Turn the diagnosis into a change keeping the project maintainable.
Catch style issues with JetBrains IDE linter
Run the project's configured tests, builds and applications
Generate tests for uncovered lines and branches, then check coverage after each guided iteration
Turn AI-generated changes into production-ready code
Stay in control of the technical debt before, during and after the agent changes your project.
Every edit is scoped, reviewable and verified with the tools of your IDE.
01
Control which parts of the codebase the agent can read and modify.
Block sensitive paths with .readignore and .writeignore
Limit modifications to selected files and folders with Edit Scope
02
Catch blind spots with independent adversarial reviews, and let AI fix them instantly.
Inspect, accept, or reject every change from the active chat
Run an independent Review subagent over the result
Navigate from review findings to code and hand issues back to the agent
03
Replace "the agent says it works" with evidence from your project. Limit vulnerabilities, lint errors, and test gaps before they become technical debt.
Trace vulnerabilities from untrusted input to dangerous operations
Run the tests and builds configured in your JetBrains IDE
Read IDE linter errors and static-analysis results
Check line and branch coverage after each guided iteration
Benchmarked against Claude Code on real legacy code
SAME
model
SAME
prompts
SAME
execution conditions
Quality
Explyt AI Agent
81.5
QI
Claude Code
76.2
QI
Median time per task
Explyt AI Agent
256
seconds
Claude Code
312
seconds
Generated tokens per task
Explyt AI Agent
15,621
tokens
Claude Code
16,534
tokens
How the benchmark works
Mature codebases
Complex maintenance tasks
Not synthetic code exercises
Test coverage and verification results
Compilation and build success
IDE linting and static-analysis results
Code maintainability
Business-logic coverage
Instruction compliance and pitfalls avoided
Why choose Explyt?
Feature
Debugger
Yes
Ultimate only
No
No
No
No
SAST vulnerability scanner
Yes
No
No
No
No
No
IDE refactorings (Rename, Change Signature…)
Yes
No
No
No
No
No
Test coverage guarantees
Yes
Coverage gates
No
No
No
No
No
Semantic code model (types, find-usages)
Yes
Full code model
Yes
LSP
No
LSP
No
Reads dependency source
Yes
No
LSP
No
No
No
Auto-review of generated code
Yes
Via verify
/review
PR only
No
No
Context compression
Yes
No
Yes
No
No
Yes
Multi-IDE support
JB only
JB only
Yes
Yes
Yes
Yes
Pricing (all top models)
$15-200/mo
Credit-based
$20–200/mo
$20–60/mo
$10–39/mo
BYOK
Explyt supports
IntelliJ IDEA 2025.1+
PyCharm 2025.1+
GoLand 2025.1+
Rider 2025.1+
PhpStorm 2025.1+
WebStorm 2025.1+
Android Studio
Java
Kotlin
Spring Boot
JUnit
Gradle
Maven
Python
virtualenv
JavaScript
TypeScript
npm
Jest
Vitest
Cypress
Playwright
.NET
C#
PHP
Go
AGENTS.md
Skills
Rules
.agentignore files
MCP
Subagents
Web Search
Explyt 5.16: ask questions while the agent works and keep rules in focus
What impressed me most is how well the agent understands the existing project. Its plans fit naturally into what is already built, even when I am working outside my usual tech stack.
Senior Analyst Developer · DXC Technology
LSP gives an agent coordinates; the full IDE gives it the project model. That native IDE context makes all the difference on real Java code.
Software Architect & AI Board Lead · Siemens
IDE-native stepping makes the difference on stateful Java applications.
Software Engineer
Your own API key or local model
Use Explyt with your own API key.
All features of the Explyt AI Agent
BYOK: Use any providers with your own API keys
Use with local models
Support with basic SLA
Free
Access to all top models
Built-in access to leading models for individual developers.
All features of the Explyt AI Agent
Choose between Claude, GPT, Gemini, GLM, DeepSeek, Kimi, MiniMax, Qwen
Support with basic SLA
$15 per month
Priority access
For intensive agent workloads that need priority access.
20x Personal
All Personal models with priority access
Support with extended SLA
$200 per month
Watch it break, inspect, and fix — then compare with the agent you use today
Choose Debug mode
Switch the agent to Debug in IDEA.
Give it the bug
Point it at one failing test.
Explyt News
Frequently Asked Questions
