EXPLYT / FIELD NOTES

Ideas for building better software

Practical stories about code quality and speed, product updates, and engineering perspectives from the team building an IDE-native AI agent.

Editor's pick
Explyt Team24 Sept 20267 min read

Explyt 5.20: stop waiting in the chat — a background task panel and notifications outside the IDE

Explyt 5.20 collects terminal commands, run configurations, and subagents in one background task panel, adds macOS, Windows, and Linux system notifications, frees Memory Bank space in two stages, and removes brief interface freezes.

Webinars

Notes, recordings and guides

Live sessions from the Explyt team for senior Java and Kotlin developers: how to get predictable results from AI coding agents in JetBrains IDEs. Every webinar comes with written notes and an extended guide.

All articles

65 articles

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

What IDE-native AI feels like

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.

Mariya Remenyuk
Mariya Remenyuk

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.

Akiner Alkan
Akiner Alkan

Software Architect & AI Board Lead · Siemens

IDE-native stepping makes the difference on stateful Java applications.

Masaood
Masaood

Software Engineer

Webinar: Working with AI Tools at the User Level

Methodology, SDD + TDD, feedback loops, and subagents — a practical framework for getting predictable results from AI coding agents. For senior Java developers and team leads using JetBrains IDEs.

Explyt 5.20

Explyt 5.20: stop waiting in the chat — a background task panel and notifications outside the IDE

Frequently Asked Questions

Getting Started

IDE Integration & Workflow

How Explyt Compares

Models & BYOK

Pricing & Billing

Privacy & Security

Blog | Explyt AI agent for JetBrains IDEs