Forgecode vs Cognition AI

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionForgecodeCognition AI
Target UserTerminal power users & AI researchersEnterprise teams with large codebases
PricingFree (bring your own API keys)Freemium, enterprise plans (undisclosed)
DeploymentZSH plugin (local CLI)Cloud + Desktop IDE (Windsurf)
Model Support300+ LLMs (multi-provider)Proprietary autonomous AI
Key FeatureMulti-agent architecture, semantic searchAutonomous planning, PR creation, bug triage
Recent Benchmark#1 on TermBench 2.0 (81.8%)FrontierCode (merge-worthiness)

For heavy-lifting enterprise automation with autonomous PRs and bug fixing, choose Cognition AI. For model-flexible, terminal-centric development and benchmarking, choose ForgeCode. You likely don't need both; pick by workflow—IDE/cloud vs. CLI/local.

Try ForgecodeTry Cognition AI
Forgecode
Forgecode

Terminal-native AI coding harness that runs as a ZSH plugin and ranks #1 on TermBench 2.0 at 81.8% completion.

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Cognition AI
Cognition AI

Cognition builds Devin, an autonomous AI software engineer that plans, codes, tests, and ships merge-ready pull requests inside your

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Pricing
Freemium
Contact Sales
Plans
$0/mo
Contact sales
Popularity
14 views
7.3k views
Skill Level
Advanced
Advanced
API Available
Platforms
CLI
WebDesktopAPICLI
Categories
💻 Code & Development🛠️ Autonomous Coding Agents
🛠️ Autonomous Coding Agents
Features
ZSH plugin triggered by typing ':' at the shell prompt
Connects to 100s of LLM providers and models natively from the shell
Mix and match models in one session (thinking, fast, large-context)
Multi-agent architecture with Forge, Muse and Sage sub-agents
Bounded context per sub-agent for reliable multi-step runs
ForgeCode Services context engine for navigating large codebases
Semantic search across large codebases (no API key required)
Fast tool-call corrections that keep local models on track
Skill scaling over thousands of skills without context bloat
Interactive model picker via ':model' with session memory
Login flow via ':login' — reuse ChatGPT Plus or Claude subscription access
'forge zsh setup' wizard and 'forge zsh doctor' diagnostics
Custom command support in ZSH (v1.4.0)
Conversation cloning (v1.4.0)
Natural language to CLI conversion (v1.4.0)
Autonomous planning, coding, testing, and pull request creation inside your repo
SWE-2 coding model launched September 10, 2026 with multiple effort levels
SWE-1.7 coding model (July 2026) positioned as frontier intelligence at lower cost
Fusion harness for the Fable and Astra models, shipping in Devin Desktop and CLI
Vendor claim of up to 39% higher efficiency on major coding benchmarks with Fusion
FrontierCode 1.1 benchmark scoring whether code is merge-worthy, not just test-passing
FrontierCode rubrics covering 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
Scheduled Sessions that maintain state across recurring runs
Auto-fixes for review comments on open pull requests
Embedded IDE you can take over, plus an interactive browser Devin drives itself
Devin for Terminal CLI with /handoff to cloud Devin
Native Windows VMs for cross-platform builds and testing
Integrations
Anthropic
OpenAI
Google
DeepSeek
Mistral
Meta
OpenRouter
Novita AI
Slack
Microsoft Teams
GitHub
GitLab
Bitbucket
Linear
Jira
Databricks
MongoDB
PagerDuty
Windsurf IDE

What real users say: Forgecode vs Cognition AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Forgecode

28 mentions across 2 sources · 43% positive — mixed (averaged across 2 sources)

Hacker News, Lemmy

What users praise

  • • Top-ranked on Terminal-Bench 2.0 with 81.8% accuracy.
  • • Supports 300+ models from all major providers, mix-and-match in one session.
  • • Multi-agent architecture with bounded context for planning and research.
  • • ZSH plugin preserves existing aliases, Oh My Zsh, and terminal muscle memory.

What frustrates them

  • • Past cheating allegations cast doubt on benchmark claims.
  • • Very limited community discussion outside Hacker News.
  • • No IDE integration—terminal-only may alienate GUI-reliant devs.
  • • Setup requires ZSH and familiarity with CLI workflows.

Researched Jul 3, 2026

Cognition AI

50 mentions across 3 sources · 43% positive — mixed (averaged across 3 sources)

Hacker News, Bluesky, Lemmy

What users praise

  • • End-to-end autonomous planning, coding, and PR creation for enterprise teams.
  • • FrontierCode evaluation ensures merge-worthy code output.
  • • Auto-Triage automates bug monitoring and fix PRs.
  • • Native Windows VM and Android emulator support for cross-platform testing.

What frustrates them

  • • Community feedback is almost nonexistent — little proof of reliability.
  • • Critics question the $10B valuation given unproven adoption.
  • • Political ties to Peter Thiel may deter some users.
  • • Limited transparency on actual customer success stories.

Researched Jul 16, 2026

Who should pick which

  • Enterprise software team
    Pick: Cognition AI

    Needs autonomous PR creation, bug triage, and integration with Jira/Datadog; Devin's enterprise support and productivity guarantee reduce risk.

  • Terminal power user
    Pick: Forgecode

    Wants AI assistance without leaving CLI; ForgeCode's ZSH plugin and multi-model support fit naturally into existing workflows.

  • AI researcher evaluating coding agents
    Pick: Forgecode

    Benchmark-focused; ForgeCode's #1 TermBench 2.0 rank and 300+ model support allow direct comparison and experimentation.

  • Legacy code modernization project
    Pick: Cognition AI

    Devin explicitly supports COBOL modernization; ForgeCode lacks legacy language tools.

  • Individual developer on a budget
    Pick: Forgecode

    Free tool with pay-as-you-go API keys; Cognition's enterprise pricing is likely excessive for one developer.

Frequently Asked Questions

Forgecode vs Cognition AI: which should you choose?

For heavy-lifting enterprise automation with autonomous PRs and bug fixing, choose Cognition AI. For model-flexible, terminal-centric development and benchmarking, choose ForgeCode. You likely don't need both; pick by workflow—IDE/cloud vs. CLI/local.

Which tool is better for autonomous PR creation?

Cognition AI's Devin is built for autonomous planning and PR creation, including auto-fix for review comments. ForgeCode assists with code but does not autonomously create PRs.

Can I use my own API keys with ForgeCode?

Yes, ForgeCode requires you to bring your own API keys for most providers (e.g., Anthropic, OpenAI). ForgeCode Services can be used without an API key.

Does Cognition AI support local models?

No, Devin is cloud-based. ForgeCode supports local models via providers like Ollama, but requires local setup.

Which tool has better benchmark performance?

ForgeCode is ranked #1 on TermBench 2.0 with 81.8% accuracy. Cognition focuses on its own FrontierCode evaluation for merge-worthiness, not public benchmarks.

Is there a free version of Cognition AI?

Cognition AI offers a freemium model, but specific free tier details are not public. The $10M guarantee is for enterprise customers.

Can I mix models in a single session?

Yes, ForgeCode supports mixing and matching models from different providers within one session. Cognition uses a single proprietary model.

Which tool integrates with Jira and Datadog?

Cognition AI integrates with Jira, Linear, and Datadog. ForgeCode does not have native integrations; it relies on terminal and file system access.

Which tool is better for mobile development?

Cognition AI supports Android emulator integration and native Windows builds, making it suitable for cross-platform mobile development. ForgeCode is terminal-based and not tailored for mobile.

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Explore each tool further

Forgecode
View Forgecode reviewForgecode alternatives
Cognition AI
View Cognition AI reviewCognition AI alternatives

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Last reviewed: July 3, 2026