TabTin vs Cognition AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionTabTinCognition AI
What it isOpen-source team harness: humans + multiple sub-agents on one shared task surfaceDevin, a managed autonomous software engineer for enterprise codebases
Pricing modelFreemium, download and self-hostContact sales — no published self-serve pricing
Surface areaCode, documents, spreadsheets, and live browser research in one workspaceCode only, inside your existing repo and CI workflow
Model strategyMain Agent decomposes into research/build/verification sub-agents on shared contextSWE-2 flagship, SWE-1.7 at lower cost, Fusion routing for 60% lower cost
Controls & complianceCheckpoint before every write with rollback, human approval gate, per-member repo permissionsFedRAMP High In-Process, FrontierCode merge-worthiness scoring, $10M outcome guarantee
IntegrationsGitHub + 48 official Skills packagesGitHub, GitLab, Bitbucket, Slack, Teams, Jira, Linear, Datadog, Windsurf
TabTin
TabTin

Open-source team harness where humans and multiple AI sub-agents share one task surface for code, docs, spreadsheets and browser research.

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Cognition AI
Cognition AI

Cognition's Devin is an autonomous software engineer that plans, writes, tests, and ships merge-ready production code.

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Pricing
Freemium
Contact Sales
Plans
$0
Custom
—
Popularity
8 views
7.3k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Desktop
WebDesktopAPICLI
Categories
🕸️ Agent Frameworks & Orchestration🤖 Automation & Agents🛠️ Autonomous Coding Agents⚡ Productivity💻 Code & Development📊 Spreadsheets & Excel AI🖱️ Browser & Computer-Use Agents✍️ Writing & Content
🛠️ Autonomous Coding Agents
Features
Main Agent decomposes a task into research, build and verification sub-agents sharing one context
Checkpoint saved before every write, with rollback of execution state
Human approval gate required before publish or write actions
Repository permissions enforced per team member and connector
48 official application packages (Skills) selectable from the app section
Code surface: reads repos, edits code and runs tests with visible diffs
Document surface: drafting, rewriting and annotation with saved versions
Spreadsheet surface: turns scattered information into filterable, countable records
Browser surface: opens live pages and extracts results into structured data
GitHub connector for repository reads and gated writes
Browser connector for live web research and structured extraction
Group chat where agents detect anomalies from messages and logs
Automatic task creation and assignment from group-chat signals such as bug reports
Automatic status tracking that syncs task changes back into the group chat
Shared team resources: docs and multi-dimensional tables reuse the same research data
Autonomous planning, coding, testing, and pull request creation inside your repo
SWE-2 coding model launched September 10 2026 at multiple effort levels
SWE-1.7 coding model (July 2026) positioned as frontier intelligence at lower cost
Fusion harness for Fable and Astra models, shipping in Devin Desktop and CLI
Vendor claim of up to 39% efficiency gain on major coding benchmarks with Fusion
FrontierCode 1.1 benchmark scores whether code is actually merge-worthy, not just test-passing
FrontierCode rubric covers correctness, test quality, scope discipline, style, and codebase standards
Auto-Triage for monitored bugs with automated fix pull requests
Security Vulnerability Remediation Program for clearing backlog findings
Session persistence so long jobs survive restarts instead of starting over
Auto-fixes for review comments on open pull requests
Native Windows VMs for cross-platform builds and testing
Android emulator integration for mobile testing in the agent loop
Devin Desktop app plus Windsurf IDE integration
AI Productivity Guarantee with coverage stated up to $10M
Integrations
GitHub
GitLab
Bitbucket
Slack
Microsoft Teams
Jira
Linear
Datadog
Windsurf IDE

Feature-by-feature

The split is scope and control. TabTin's Main Agent fans a task into research, build, and verification sub-agents that share one context, so the same goal, team rules, and delivery standards persist across handoffs. It covers four surfaces: code (reads repos, edits, runs tests with visible diffs), documents (drafting, rewriting, annotation with saved versions), spreadsheets (turns scattered info into filterable, countable records), and browser (opens live pages, extracts structured data). Every write is preceded by a Checkpoint with execution-state rollback, and publish/write actions need human approval; repo permissions are enforced per team member and connector. There are 48 official Skills packages, and the connector set is GitHub and browser — the integration list is intentionally thin.

Cognition is narrower but deeper on code. Devin autonomously plans, codes, tests, and creates pull requests, then auto-fixes review comments. SWE-2 is the current frontier model (September 2026), with SWE-1.7 as the cheaper frontier-tier option, and Fusion routes work across model tiers for 60% lower cost in Devin Desktop and the CLI. FrontierCode scores whether generated code is actually merge-worthy. Auto-Triage turns monitored bugs into fix PRs, the Security Vulnerability Remediation Program clears backlog at scale, and sessions persist across runs rather than restarting. Native Windows VMs and Android emulator integration cover cross-platform builds and mobile testing — neither appears in TabTin's feature set.

Pricing compared

TabTin is freemium and open source: the current release is dated 9.21, you download it, and you carry the cost of running and maintaining it. There is no per-seat quote to negotiate and no contract, but also no vendor SLA — the trade is setup time and operational ownership for zero license line item. Its stated not-for list explicitly excludes users who need a documented public API or CLI for custom automation, so budget for integration work accordingly.

Cognition AI is pricing_type: contact. Nothing published, no self-serve tier — Cognition's own not-for list includes buyers who need published self-serve pricing before they can start. The cost story is internal rather than posted: SWE-1.7 is positioned as frontier intelligence at a fraction of the cost, and Fusion is reported to deliver frontier performance at 60% lower cost than routing everything to the top tier. For procurement that means an enterprise contract conversation, with the $10M guarantee and FedRAMP High In-Process status as the levers. If you cannot get through a sales cycle, TabTin is the only one of the two you can actually start using today; if you need a signed outcome guarantee, only Cognition offers one.

Who should pick which

  • Small product team already living in group chat
    Pick: TabTin

    Agents detect anomalies from messages and logs inside the group chat the team already uses, and the 48 Skills packages plug into that same workflow.

  • Enterprise platform team with a large production codebase
    Pick: Cognition AI

    Devin plans, codes, tests, and opens PRs autonomously, with Auto-Triage and the Security Vulnerability Remediation Program absorbing backlog-scale work.

  • Team mixing code, docs, spreadsheets, and web research on one task
    Pick: TabTin

    It is the only one of the two with document, spreadsheet, and live browser surfaces alongside the code surface.

  • Regulated agency or government buyer
    Pick: Cognition AI

    Devin holds FedRAMP High In-Process status, making it procurable where compliance review is a hard gate.

  • Engineer needing Windows and Android build/test coverage
    Pick: Cognition AI

    Native Windows VM support and Android emulator integration are listed by Cognition and have no TabTin equivalent in the data.

Frequently Asked Questions

Can I try either one without talking to sales?

TabTin, yes — it is freemium and downloadable, with a current release dated 9.21. Cognition AI is listed as contact pricing and explicitly flags that it is not for buyers who need published self-serve pricing before starting, so expect a sales conversation.

Which one can my team actually audit before it writes to production?

TabTin is built around that: a Checkpoint is saved before every write with rollback of execution state, publish/write actions require human approval, and repository permissions are enforced per team member and connector.

Does either handle bugs my team never filed?

Cognition does via Auto-Triage, which monitors bugs and produces automated fix PRs, plus the Security Vulnerability Remediation Program for clearing vulnerability backlogs.

What does Cognition's Fusion actually change for me?

Fusion routes work across model tiers inside Devin Desktop and the CLI, and Cognition reports frontier performance at 60% lower cost than the alternative tier usage.

Is TabTin's integration list a limitation?

Its connectors are GitHub and a browser connector, with 48 official Skills packages selectable from the app section. That is far narrower than Cognition's list (GitLab, Bitbucket, Slack, Teams, Jira, Linear, Datadog, Windsurf), and TabTin's own not-for list calls out teams needing a mature third-party integration ecosystem out of the box.

Who should not buy either?

Solo users wanting a lightweight personal assistant, and anyone unwilling to self-host open-source software, should skip TabTin. Individual developers wanting only inline editor suggestions, hobbyists, and teams without review capacity for agent-authored PRs should skip Cognition.

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Last reviewed: September 22, 2026