Agentic Index
Augment Code vs JetBrains AI (2026)
Augment Code last verified ·JetBrains AI last verified
Both bring agents into a real engineering workflow and one comes with the editor. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
JetBrains ships Junie and a command line tool with bring your own key, MCP support and a plan, execute and verify loop, free to start and $10 a month on AI Pro. Augment's Cosmos coordinates specialized agent teams across the development lifecycle with shared memory and MCP and webhook integrations, from $20 a month flat. For a team that already works in JetBrains editors, Junie arrives inside the IDE it knows.
On the Agentic Index coding agent ranking, neither Augment Code nor JetBrains AI clears the bar, which asks for all five merge loop capabilities documented in full. Augment Code does not document testing, debugging and optimization in full; JetBrains AI does not document knowledge grounding and RAG in full, nor testing, debugging and optimization. 3 of the 96 vendors in the lane clear it. See the coding agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Augment Code and JetBrains AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Augment Code if
- Multi agent coordination across the lifecycle is the capability you need.
- Shared memory across an agent team is what makes them work together rather than in parallel.
- Webhook integrations connect agents to events across your systems.
Choose JetBrains AI if
- Your team already uses JetBrains editors, which makes this native and cheap.
- A plan, execute and verify loop is the discipline you want in an agent.
- Starting free and moving to $10 a month on AI Pro keeps adoption simple for a whole team.
| Feature | A Augment Code |
J JetBrains AI |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Augment CodeIntegrations & Tool Calling Cosmos connects GitHub and GitHub Enterprise Server, GitLab cloud and self hosted, Azure DevOps, Jira, Linear, Slack, Microsoft Teams, ClickUp, Datadog and PagerDuty, plus any server from its MCP registry, and Experts and the Auggie CLI call external tools through MCP servers and native tools. Tool permissions allow, deny or delegate each tool call to a webhook or script policy, and a Slack mention of @Augment starts an Expert session that posts back in thread. Sourcedocs.augmentcode.com/cosmos/config-mcp, cosmos/connectors/config-slack and cli/permissionsread 2026-10-28 |
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JetBrains AIIntegrations & Tool Calling The agent acts through the IDE's own machinery. It edits across files, runs builds, tests and terminal commands, drives the real IDE debugger through a bundled Debugger MCP Toolset and reaches external systems through configured MCP servers, and the IDE itself is exposed as an MCP server to other clients. Sourcejetbrains.com/help/ai-assistant/junie-agent; jetbrains.com/help/ai-assistant/junie-agent.htmlread 2026-08-30 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Augment CodeWorkflow Orchestration Cosmos runs multiple Experts side by side in the cloud, each in its own session. An Expert launches workers as separate parallel sessions and subagents, the docs state that no Expert launches another and that the pull request is the medium Experts hand work through, and a Ticket Dispatcher runs on a schedule and dispatches PR Author for tickets that are safe to attempt. The Project Builder turns a large feature into a design, a ticket breakdown and coordinated implementation, and the Auggie CLI runs subagents in parallel. Sourcedocs.augmentcode.com/cosmos/workers-subagents, cosmos/experts-ticket-dispatcher, cosmos/experts-templates and cli/subagentsread 2026-10-28 |
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JetBrains AIWorkflow Orchestration Junie autonomously plans and executes complex multi step actions from a single prompt, making large scale edits across files, running tests and terminal commands and using external tools while reporting progress. It works in a plan, execute and verify loop where the plan is an editable document approved before code is written, and the agent iterates when tests fail. Sourcejetbrains.com/help/ai-assistant/junie-agent and junie.jetbrains.com/docs; jetbrains.com/help/ai-assistant/junie-agent.htmlread 2026-08-30 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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Augment CodeTriggers & Channel Coverage Cosmos triggers turn events into Expert sessions: GitHub issues, issue comments, pull requests, pushes, check suites and workflow runs, Linear status changes, Slack mentions, GitLab and PagerDuty events, cron schedules and custom webhooks, each filtered with JSONLogic and capped at a runs per minute limit. When a trigger fires, Cosmos opens a session in a sandboxed VM and drops the raw event payload in as the first message, running as a service account identity if configured. The Cloud Agents page says a ticket, pull request or alert can start an agent. Sourcedocs.augmentcode.com/cosmos/config-triggers, cosmos/getting-started and augmentcode.com/product/cloud-agentsread 2026-10-28 |
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JetBrains AITriggers & Channel Coverage The same agent engine is invoked from IDE chat, the Junie tool window, a standalone CLI in any terminal, CI/CD pipelines via GitHub Actions and GitLab, and third party ACP clients. Remote and asynchronous runs let a long task started on a workstation be monitored elsewhere. Sourcejunie.jetbrains.com/docs and jetbrains.com/help/ai-assistant/junie-agentread 2026-08-30 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Augment CodeKnowledge Grounding & RAG The Context Engine is described as a live map of the entire codebase, always current, that semantically indexes code across hundreds of thousands of files and retrieves curated context from dependencies, documentation, recent changes, commit history and issues. It is served to Augment's own agents and to other agents through an MCP server in local or hosted mode and a Context Engine SDK, and the open source Context Connectors index incrementally. Sourceaugmentcode.com/context-engine, docs.augmentcode.com/context-services/mcp/overview and context-services/context-connectors/how-it-worksread 2026-10-28 |
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JetBrains AIKnowledge Grounding & RAG The open file and selection reach Junie as automatic IDE context, with other files attached by @ mention, AGENTS.md guidelines added to every task and MCP servers for outside data. The Junie plugin also has an opt in setting for embeddings based codebase indexing. How that index persists or stays current is not described, so context is assembled per task. Sourcejetbrains.com/help/ai-assistant/junie-agent and junie.jetbrains.com/docs/junie-plugin-project-settings; jetbrains.com/help/ai-assistant/junie-agent.htmlread 2026-10-25 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Augment CodeMemory & State Persistence Experts capture their own memory and store it as readable Markdown in the organization's shared virtual filesystem, scoped per repository, global, channel, project or user, and load it at the start of relevant work. A noisy memory model promotes a learning only once evidence is sufficient. Augment does not say how long Expert memory lasts, when it expires or how to purge it. Sourcedocs.augmentcode.com/cosmos/experts-memory and experts-code-review-memoryread 2026-10-28 |
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JetBrains AIMemory & State Persistence Persistent project context is carried in an AGENTS.md instructions file that Junie adds to every task and that can be version controlled, and sessions can be managed and their status checked through slash commands. There is no cross session agent memory or learned state store. Sourcejetbrains.com/help/ai-assistant/junie-agent; jetbrains.com/help/ai-assistant/junie-agent.htmlread 2026-08-30 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Augment CodeHuman Oversight & Guardrails In Cosmos an Expert brings back a pull request, a review or a finding for a person to approve, and nothing merges without a human at the checkpoint. PR Author opens a draft that stays unpublished until a person marks it ready, work that needs a specification waits for explicit human approval of the spec, the Risk Analyzer auto approves only low risk changes, and Pair Reviewer and checkpoints sit beside them. The IDE agent pauses before terminal commands and external actions unless Agent Auto mode is on, and CLI tool permissions allow, deny, ask the user or delegate calls to a webhook or script policy. Sourcedocs.augmentcode.com/cosmos/software-factory/ticket-to-pr, augmentcode.com/product/cloud-agents, docs/using-augment/agent and cli/permissionsread 2026-10-28 |
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JetBrains AIHuman Oversight & Guardrails Junie asks permission by default before running bash commands, changing files, performing file operations or using external tools, with approve, reject or always allow per command, and the user can open the diff or the full command in the editor before deciding. Changes can be rolled back per file or all at once, and .aiignore restricts which files the agent may process. Brave mode is an explicit opt in that JetBrains warns can cause data loss. Sourcejetbrains.com/help/ai-assistant/junie-agent; jetbrains.com/help/ai-assistant/junie-agent.htmlread 2026-08-30 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Augment CodeSecurity, Identity & Governance Augment holds SOC 2 Type II attestation and ISO/IEC 42001 certification, does not train on customer code, and offers customer managed encryption keys. Enterprise adds SSO and OIDC with granular access controls and audit trails, the Cosmos page lists RBAC, and service accounts act as non human identities with their own tokens. SCIM is listed on the Enterprise plan while the Cosmos admin checklist says it will roll out soon. The trust center at trust.augmentcode.com renders only client side. Sourceaugmentcode.com/security, augmentcode.com/pricing, augmentcode.com/product/cosmos and docs.augmentcode.com/cosmos/guides/admin-checklistread 2026-10-28 |
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JetBrains AISecurity, Identity & Governance User level controls cover .aiignore, which excludes files and directories from agent processing, AGENTS.md, which governs agent behavior under version control, and per command approval gates and .junie/mcp scoping, which limit what the agent may do. JetBrains offers an AI Enterprise tier but does not say what it adds. There is no SOC 2 or ISO attestation specific to the AI product, and no SSO, RBAC or admin governance surface. Sourcejetbrains.com/help/ai-assistant/junie-agent; jetbrains.com/help/ai-assistant/junie-agent.htmlread 2026-08-30 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Augment CodeObservability & Auditability Each Cosmos session records every message, agent turn and tool call, is kept without expiry and can be reopened, shared across the organization or restricted. Automations show a Run History tab and an Event Log with the worker tree visible per session, an Analytics API reports usage, and the Cosmos page lists audit logs that feed a SIEM and replayable runs, though the docs' audit logs section is still an empty placeholder. Sourcedocs.augmentcode.com/cosmos/sessions-overview, cosmos/manage-automations, analytics/overview and augmentcode.com/product/cosmosread 2026-10-28 |
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JetBrains AIObservability & Auditability Junie CLI keeps each session's events log and a readable transcript on disk. It saves the full prompt, response and model usage history for resumable sessions and stores subagent transcripts, so a run can be reconstructed afterwards. These are local files rather than a central audit log. In the IDE, changes stay reviewable as diffs and can be rolled back one by one. Sourcejunie.jetbrains.com/docs/junie-cli; junie.jetbrains.com/docs/junie-cli.htmlread 2026-10-25 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Augment CodeDeployment & Data Residency Cosmos sessions run in Augment hosted sandboxed VMs by default, or on a team's own machines through self hosted daemons. A self hosted Kubernetes option is in early access behind a feature flag and needs outbound access, EU tenants can set EU only inference, and Enterprise lists data residency options and multi region compute. The Cosmos product page names VPC, single tenant and on premises options, but the docs name no region list. Sourcedocs.augmentcode.com/cosmos/environments/daemons, cosmos/guides/self-hosted-k8s, augmentcode.com/product/cosmos and augmentcode.com/pricingread 2026-10-28 |
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JetBrains AIDeployment & Data Residency Junie runs locally in the IDE or terminal, and Junie CLI can use Junie Local, a local inference engine for Apple Silicon, or a local Ollama, LM Studio or LiteLLM server, so code and inference stay on the customer's own machines. The Junie GitHub Action runs entirely on the customer's GitHub runners. JetBrains does not say what organization level hosting options AI Enterprise adds. Sourcejunie.jetbrains.com/docs/junie-local, custom-llm-ollama and junie-on-github; junie.jetbrains.com/docs/junie-local.htmlread 2026-09-29 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Augment CodePrebuilt Agents, Templates & Packs Augment ships fourteen Template Experts, including PR Author, PR Fixer, Deep Reviewer, Pair Reviewer, Risk Analyzer, Verifier, Incident Investigator, Feedback Triager, Project Builder, Ticket Manager, Ticket Dispatcher and Data Analyst. Skills are defined at organization, user and project scope, and custom slash commands and published examples add reusable workflows. There is no marketplace. Sourcedocs.augmentcode.com/cosmos/experts-templates, cosmos/config-skills and cli/custom-commands-examplesread 2026-10-28 |
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JetBrains AIPrebuilt Agents, Templates & Packs Several ready to use coding agents are selectable in AI Assistant chat, namely Junie, Claude Agent, Codex and the Copilot agent, and Junie ships a dedicated code review agent beside its coding agent. Most of these agents do the same job. Sourcejetbrains.com/help/ai-assistant/agents and junie.jetbrains.com/docs/junie-review-agent; jetbrains.com/help/ai-assistant/agents.htmlread 2026-09-29 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Augment CodeModel Flexibility & Routing The user chooses among models from Anthropic, Google, OpenAI, xAI, DeepSeek, Zhipu and Moonshot AI, with Prism routing as an option. In Cosmos the choice is made per Expert or per session, and in the Auggie CLI with /model or --model. Bring your own key is available to customers with enterprise agreements. Sourcedocs.augmentcode.com/models/available-models, cosmos/guides/admin-checklist and augmentcode.com/product/cosmosread 2026-10-28 |
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JetBrains AIModel Flexibility & Routing The model is selected from a list in the chat input with a configurable reasoning level, spanning frontier models from OpenAI, Anthropic, Google and xAI. The CLI adds bring your own key, including OpenRouter, and local models can be served through Ollama, LiteLLM or LMStudio. Sourcejetbrains.com/help/ai-assistant/junie-agent and junie.jetbrains.com/docs; jetbrains.com/help/ai-assistant/junie-agent.htmlread 2026-08-30 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Augment CodeAPIs, SDKs & MCP Extensibility The Auggie SDK in TypeScript and Python builds custom integrations and agents on Auggie with typed and streaming output and custom tools, the CLI runs headless with --print and auggie cloud manages Cosmos Experts, environments and sessions with service account tokens and JSON output. The Context Engine ships an SDK with an API reference and its own MCP server, codebase-retrieval, in local stdio or hosted HTTP mode. Sourcedocs.augmentcode.com/cli/sdk, context-services/sdk/api-reference and context-services/mcp/overviewread 2026-10-28 |
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JetBrains AIAPIs, SDKs & MCP Extensibility MCP client support spans the IDE and CLI with project and user scoped mcp.json configs, a registry of pre configured servers and an MCP Installation Assistant. The IDE itself runs as an MCP server exposing IDE tools to external clients including Claude Code, Codex and Copilot CLI, a bundled Debugger MCP Toolset exposes debugger control, and the agent speaks ACP so the same engine drives IDE chat, the tool window and the CLI. Sourcejunie.jetbrains.com/docs/junie-cli-mcp-configuration and jetbrains.com/help/ai-assistant/mcp; junie.jetbrains.com/docs/junie-cli-mcp-configuration.htmlread 2026-08-30 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Augment CodeTesting, Debugging & Optimization A Verifier Expert runs an end to end verification pass against a running environment and reports evidence backed findings, and Cosmos offers replayable runs. Both check the customer's code and the agent's output, and Augment offers no harness to evaluate or regression test agent behavior itself. Sourcedocs.augmentcode.com/cosmos/experts-verifier and augmentcode.com/product/cosmosread 2026-10-28 |
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JetBrains AITesting, Debugging & Optimization Debug mode drives the IDE debugger against the customer's running program to inspect runtime state, and the agent runs tests and terminal commands as it works. That is debugging, with the agent checking its own changes against the customer's existing gates. There is no harness, scored test set or optimization loop for evaluating Junie's behavior, and the benchmark results JetBrains publishes are its own measurements. Sourcejetbrains.com/help/ai-assistant/junie-agent; jetbrains.com/help/ai-assistant/junie-agent.htmlread 2026-09-29 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Augment CodeBrowser & Computer Use Experts and the CLI work through the IDE, terminal, repositories, sandboxed VMs, CI and MCP connected tools. No first party page describes the agent driving a browser or operating software through a graphical interface; the MCP page names browser automation only as a category of server a customer can add. Sourceaugmentcode.com/product/cloud-agents, augmentcode.com/product/cosmos and docs.augmentcode.com/cosmos/config-mcpread 2026-10-28 |
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JetBrains AIBrowser & Computer Use Junie CLI's /demo command launches the app in a Docker virtual machine with Chromium and a desktop. A computer use model drives the interface and records screenshots and video. It is a demo workflow and needs Docker. In the IDE, the agent works through the IDE, terminal and debugger APIs instead. Sourcejunie.jetbrains.com/docs/junie-cli-demo; junie.jetbrains.com/docs/junie-cli-demo.htmlread 2026-10-25 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A Augment Code |
J JetBrains AI |
|---|---|---|
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Entry price Lowest public entry point |
From $20 per month flat (Standard, up to 50 seats, $20 of usage included) | AI Free at $0, then AI Pro from $10 a month. |
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Pricing confidence How public the numbers are |
Public, partial | Public, exact |
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Billing Primary billing axis |
A flat monthly team plan with a dollar amount of usage included, plus metered LLM and compute usage beyond it. | A monthly subscription per tier that carries a quota of AI credits, each worth $1, with extra credits bought beyond the quota. |
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Variable cost Workload / overage exposure |
High variable cost | Low variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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Free tierTrial
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Buying motion Self-serve vs sales call |
Mixed | Self-serve |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Augment Code
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· Funding / partnership
Augment Code agreed to sell Cosmos, the Auggie CLI, the Code Context Engine and related technology to Harness, and the team behind those products is moving to Harness to keep developing them.
Source -
· Observability / auditability
Augment Code released Cosmos Week 30, introducing session forking to branch conversations from completed turns and cost analytics with detailed charts for enterprise organizations.
Source -
· Workflow orchestration
Augment Code released Auggie CLI 0.33.0, introducing cloud triggers to enable or disable persistent workflow triggers and a worker sessions view to display child worker processes.
Source
JetBrains AI
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· Deployment / data residency
Junie Local, the fully on device version of the Junie coding agent, moved from experimental to stable on Windows PCs with NVIDIA RTX GPUs of at least 24 GB and added native support for NVIDIA RTX Spark PCs on Windows on Arm.
Source -
· Pricing / packaging
Junie Lite is a new free tier for the Junie coding agent, running on a free model in every JetBrains account with no trial or card required.
Source -
· Integrations
JetBrains updated its AI Assistant to natively integrate Claude Agent, powered by Anthropic's Agent SDK, directly into the IDE chat.
Source
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