Key takeaways
- Model flexibility is table stakes, but automation and integration depth now differentiate leaders
- Only Tembo offers both scheduled (cron) and event-triggered automations with 11 native integrations
- Tembo is uniquely both model-agnostic AND CLI-agnostic — orchestrating any coding agent without lock-in
- Surface coverage varies wildly: Cursor owns IDE, OpenCode owns CLI, most agents are web-only
- Database integrations (PostgreSQL, Supabase, AWS RDS) are unique to Tembo — enabling schema-aware agents
FAQ
What is a model-agnostic coding platform?
A model-agnostic coding platform works with multiple AI providers (Anthropic, OpenAI, Google) rather than being locked to a single model vendor, giving teams flexibility as the AI landscape evolves.
Which platform has the best automations?
Tembo leads with both scheduled (cron) and event-triggered automations across 11 integrations. Factory offers similar capabilities but with fewer integration points.
What's the difference between coding agents and agent orchestrators?
Coding agents (Devin, Claude Code) execute work directly. Orchestrators (Tembo, 8090) coordinate multiple agents and integrate with team workflows like Jira, Linear, Slack, and Sentry.
Which platforms support local development?
Cursor, OpenCode, Tembo, Amp, Background Agents, and Conductor support local development. Devin, Factory, 8090, cto.new, and Ona are cloud-only.
Executive Summary
The AI coding tool market is rapidly fragmenting — no single model or agent will win. Model-agnostic platforms that work across providers are becoming essential infrastructure for teams hedging their bets.
This report evaluates 12 platforms across seven key dimensions: model flexibility, CLI/agent flexibility, automation capabilities, integration depth, surface coverage, local development support, and enterprise readiness.
Key Findings:
- Model flexibility is table stakes — 10 of 12 platforms support multiple AI providers, but this alone no longer differentiates
- Automation depth separates leaders — Only Tembo and Factory offer both scheduled (cron) and event-triggered automations; most platforms remain interactive-only
- Integration breadth matters — Tembo leads with 11 native integrations (GitHub, GitLab, Bitbucket, Linear, Jira, Sentry, PostgreSQL, Supabase, AWS RDS, Slack, Raycast); competitors average 2-4
- CLI-agnostic is the new model-agnostic — Tembo uniquely orchestrates any coding agent (Claude Code, Codex, Amp, OpenCode); competitors lock you to their agent
- Surface coverage varies wildly — Cursor dominates IDE, OpenCode dominates CLI, but most agents (Devin, Ona, 8090) are web-only with no local option
- Database integrations are rare — Tembo is the only platform with native PostgreSQL, Supabase, and AWS RDS support for schema-aware agent work
Strategic Planning Assumptions:
- By 2027, teams will evaluate platforms primarily on automation and integration capabilities, not just model support
- By 2028, orchestration layers with deep integrations become mandatory for Fortune 1000 AI coding deployments
- By 2029, platforms without scheduled automations will be relegated to individual developer tools, not team infrastructure
Market Definition
Model-agnostic agentic engineering platforms are AI-powered development tools that support multiple language model providers (Anthropic, OpenAI, Google, etc.) or multiple coding agents, avoiding vendor lock-in while delivering autonomous or semi-autonomous code generation capabilities.
Inclusion Criteria:
- Supports at least two major LLM providers OR multiple coding agents
- Provides code generation, editing, or orchestration capabilities
- Available as commercial product or mature open-source project
- Active development and user base as of February 2026
Exclusion Criteria:
- Single-model-only tools (Claude Code CLI, Codex CLI)
- Pure autocomplete/suggestion tools without agentic capabilities
- Research projects or early prototypes without user adoption
- IDE plugins that only support one model provider
Comparison Matrix
| Vendor | Category | Model/Agent Support | Automations | Integrations | Local Dev | Pricing |
|---|---|---|---|---|---|---|
| Tembo | Orchestrator | 5+ agents (CLI-agnostic) | Cron + Events | 11 native | ❌ | $60-200/mo |
| Factory | Agent | Multi-model (3+) | Cron + Events | 4-5 | ❌ | Token-based |
| Cursor | IDE | Multi-model (5+) | ❌ | 3 (git only) | ✅ | $60/mo |
| OpenCode | Agent | 75+ providers | ❌ | 3 (git only) | ✅ | OSS (free) |
| Devin | Agent | Custom models | Events only | 2-3 | ❌ | ~$500/seat/mo |
| 8090 | Orchestrator | Agent-agnostic | Limited | 2-3 | ❌ | $200/seat/mo |
| Amp | Agent | Multi-model (3+) | ❌ | 1-2 | ✅ | Free + usage |
| Conductor | Orchestrator | 2 agents | ❌ | 1 | ✅ | Unknown |
| cto.new | Agent | Multi-model (3+) | ❌ | 1-2 | ❌ | Free |
| Ona | Agent + Env | Not disclosed | ❌ | 2-3 | ❌ | Enterprise |
| Background Agents | Infrastructure | Via OpenCode | ❌ | 1 | ✅ | OSS (free) |
| Entire | Unknown | Unknown | Unknown | Unknown | Unknown | Unknown |
Sorted by automation + integration capabilities
Product Profiles
8090
Full-SDLC orchestration platform capturing requirements, architecture, and context upstream.
| Quick Reference | |
|---|---|
| Website | 8090.ai |
| Founded | Unknown |
| Funding | Not disclosed |
Overview
8090 takes a contrarian approach: while competitors race to generate code faster, Software Factory focuses on what comes before code — requirements, architecture decisions, and planning context. The platform creates a knowledge graph that feeds AI agents better inputs.
Strengths
- Full-SDLC scope — Covers requirements through validation, not just code generation
- Context-first architecture — Structured knowledge graph gives AI agents better inputs
- Enterprise modernization play — Reverse engineering agents for legacy codebases
- Differentiated positioning — Complements rather than competes with coding agents
Cautions
- Complexity — Four modules may overwhelm teams wanting simple solutions
- Pricing opacity — Token-based usage on top of seat fees complicates cost prediction
- Limited visibility — Minimal public traction and no disclosed funding
Key Stats
| Metric | Value |
|---|---|
| Pricing | $200/seat/mo + tokens |
| Model Support | Agent-agnostic (external) |
| Enterprise Tier | Yes ($1M+/year custom) |
Amp
Independent AI research lab building a multi-model terminal-first coding agent.
| Quick Reference | |
|---|---|
| Website | ampcode.com |
| Founded | 2025 (spun out from Sourcegraph Dec 2025) |
| Funding | Profitable, independent |
Overview
Amp spun out from Sourcegraph in December 2025 to become Amp, Inc. — an independent AI research lab focused on the frontier of AI-assisted development. The team brings Sourcegraph's decade of code intelligence expertise but now operates with startup agility. Amp uses Claude Opus 4.5 for most tasks, GPT-5 for deep reasoning, and fast models for quick operations — automatically routing to the best model per task.
Strengths
- Multi-model routing — Automatically selects optimal model for each task type
- Transparent pricing — No markup on model costs; $10/day free tier
- Independent and profitable — Sustainable without VC pressure
- Opinionated quality — Ruthlessly removes features that don't work (killed Tab, TODOs, Fork)
Cautions
- Terminal-first — May alienate developers who prefer GUI-heavy workflows
- Breaking changes — "No backcompat, no legacy features" policy
- Limited integrations — No Jira, Linear, Sentry, or database integrations
Key Stats
| Metric | Value |
|---|---|
| Pricing | Free ($10/day grant) + usage |
| Model Support | Claude Opus 4.5, GPT-5, Gemini 3 |
| Status | Independent company (Dec 2025) |
Background Agents
Open-source background agent system using Modal sandboxes and OpenCode.
| Quick Reference | |
|---|---|
| Website | GitHub |
| Founded | 2026 |
| Funding | None (OSS) |
Overview
Background Agents (Open-Inspect) is an open-source implementation inspired by Ramp's internal Inspect tool. Using Modal for cloud sandboxes and OpenCode as the coding agent runtime, it enables asynchronous agent work while developers focus elsewhere. Single-tenant only, designed for internal team use.
Strengths
- Fully open-source — MIT licensed, inspect and modify everything
- Modern architecture — Cloudflare edge + Modal sandboxes
- Multiplayer support — Collaboration features rare in OSS agent tools
- Active development — 537 GitHub stars in first 2 weeks
Cautions
- Single-tenant only — Not suitable for multi-org or commercial deployment
- Infrastructure dependencies — Requires Modal (vendor lock-in for compute)
- No enterprise features — Missing Jira, signed commits, audit logs, BYOK
Key Stats
| Metric | Value |
|---|---|
| Pricing | Free (OSS) + infra costs |
| Model Support | Via OpenCode (configurable) |
| GitHub Stars | 537 |
Conductor
Mac desktop app for running parallel Claude Code and Codex agents in isolated worktrees.
| Quick Reference | |
|---|---|
| Website | conductor.build |
| Founded | 2024 |
| Funding | Bootstrapped |
Overview
Conductor is a Mac-native application for running multiple coding agents in parallel. Using git worktrees for isolation, it enables concurrent agent work without merge conflicts. The app targets individual Mac developers who want parallelism without cloud dependencies, using their existing Claude Code or Codex subscriptions.
Strengths
- True parallelism — Multiple agents working simultaneously on same repo
- No additional costs — Uses existing Claude/Codex subscriptions
- Clean isolation — Git worktrees prevent agents from conflicting
- Native performance — Mac-native app, not Electron
Cautions
- Mac-only — No Windows, Linux, or cloud support
- Limited agent support — Only Claude Code and Codex
- No enterprise features — No team management, Jira, or signed commits
- Individual-focused — No collaboration features for teams
Key Stats
| Metric | Value |
|---|---|
| Pricing | Unknown (subscription) |
| Agent Support | Claude Code, Codex |
| Platforms | macOS only |
cto.new
Completely free AI coding agent with frontier models, funded by data monetization.
| Quick Reference | |
|---|---|
| Website | cto.new |
| Founded | 2025 |
| Funding | $5.7M Seed |
Overview
cto.new provides free access to GPT-5.2, Claude Sonnet 4.5, and Gemini 3 Pro Preview — models that competitors charge $20-200/month for. The platform monetizes through data collection and ads, processing 300B+ tokens and thousands of daily PRs across 10,000+ codebases since October 2025 launch.
Strengths
- Zero cost barrier — No credit card, API key, or subscription required
- Frontier model access — Same models competitors charge premium prices for
- Proven scale — 300B+ tokens, 10,000+ codebases, thousands of daily PRs
- IDE integration — MCP server connects to Cursor for hybrid use
Cautions
- Sustainability questions — Free model requires significant token subsidies
- Privacy trade-offs — Data collection is part of monetization strategy
- New company risk — Limited operating history since October 2025
- SOC2 claims unverified — No public attestation reports linked
Key Stats
| Metric | Value |
|---|---|
| Pricing | Free (ad/data-supported) |
| Model Support | GPT-5.2, Claude 4.5, Gemini 3 |
| Daily PRs | Thousands |
Cursor
AI-native code editor trusted by NVIDIA (40K engineers), Salesforce (20K developers), and half the Fortune 500.
| Quick Reference | |
|---|---|
| Website | cursor.com |
| Founded | 2022 |
| Funding | $900M+ ($29B valuation) |
Overview
Cursor is the dominant AI IDE — a VS Code fork with integrated AI capabilities from tab completion to fully autonomous agents. The company recently acquired Graphite for code review, signaling expansion beyond code generation. With NVIDIA and Salesforce deployments, Cursor has proven enterprise-grade quality.
Strengths
- Massive adoption — Fortune 500 customers including NVIDIA (40K) and Salesforce (20K)
- Familiar UX — VS Code fork means zero learning curve
- Full autonomy spectrum — Tab completion to full agents in one tool
- Model flexibility — OpenAI, Anthropic, Gemini, xAI, and Cursor models
Cautions
- IDE lock-in — Must use Cursor's editor, not just a plugin
- Price escalation risk — Usage-based pricing can surprise with overages
- Individual-focused — Core value is developer speed, not workflow orchestration
Key Stats
| Metric | Value |
|---|---|
| Pricing | $60/mo Pro, $40/user Teams |
| Model Support | 5+ providers |
| Enterprise Customers | Half the Fortune 500 |
Devin
First autonomous AI software engineer, trusted by Goldman Sachs, Santander, and Nubank.
| Quick Reference | |
|---|---|
| Website | cognition.ai |
| Founded | 2023 |
| Funding | $175M+ |
Overview
Devin pioneered the "AI software engineer" category in March 2024, setting new benchmarks for autonomous coding. Now with hundreds of thousands of merged PRs, the platform excels at junior-level tasks at scale: migrations, security fixes, test generation. Custom Cognition models (SWE-1.5, SWE-grep) optimize for coding agent workloads.
Strengths
- First mover — Established category and brand recognition
- Enterprise traction — Goldman Sachs, Santander, Nubank, Infosys
- Custom models — SWE-1.5 and SWE-grep optimized for coding
- Proven scale — Hundreds of thousands of merged PRs
Cautions
- Locked to Cognition — No BYOK option; can't bring your own model
- Poor customer support — Reported slow, unhelpful responses
- High price point — ~$500/seat/month is expensive for many teams
- Struggles with ambiguity — Needs clear requirements
Key Stats
| Metric | Value |
|---|---|
| Pricing | ~$500/seat/mo |
| Model Support | Custom Cognition models |
| PR Merge Rate | 67% |
Entire
Pre-launch platform positioning "beyond repositories" for agent-human collaboration.
| Quick Reference | |
|---|---|
| Website | entire.io |
| Founded | Unknown |
| Funding | Unknown |
Overview
Entire is in stealth mode with only a landing page visible. The messaging hints at something beyond traditional repositories — "a developer platform where agents and humans can collaborate, interact, and grow." Could be agent-native GitHub, collaboration spaces, or something entirely new.
Strengths
- Novel positioning — "Beyond repositories" is a bold frame no one else uses
- Ambiguous scope — Could be incremental or paradigm-shifting
Cautions
- Vaporware — No product, team, funding, or timeline disclosed
- Stealth risk — Product may be completely different at launch
Key Stats
| Metric | Value |
|---|---|
| Status | Pre-launch stealth |
| Details | Insufficient data |
Factory
Enterprise Droids with model flexibility and multi-interface support.
| Quick Reference | |
|---|---|
| Website | factory.ai |
| Founded | 2023 |
| Funding | $50M+ Series B |
Overview
Factory builds "Droids" — autonomous coding agents designed for enterprise teams. Unlike single-IDE tools, Droids work across any IDE, CLI, Slack, Linear, or web interface. The model-agnostic approach (Claude, GPT, Gemini) lets teams switch providers without changing workflows. $50M Series B from Wipro Ventures signals enterprise focus.
Strengths
- Enterprise-ready — SOC2, SSO, SAML, audit trails, on-premise options
- Model flexibility — Not locked to single LLM provider
- Workflow integration — Slack, Linear, IDE, CLI access
- Self-improvement — "Signals" system for recursive agent improvement
Cautions
- Crowded market — Many well-funded competitors
- Foundation model risk — OpenAI/Anthropic could replicate features
- Token costs — Usage-based pricing can escalate for heavy use
Key Stats
| Metric | Value |
|---|---|
| Pricing | Token-based + seats |
| Model Support | Claude, GPT, Gemini |
| Enterprise Features | Full suite |
Ona
AI software engineer with bundled sandboxed environments and compliance features.
| Quick Reference | |
|---|---|
| Website | ona.com |
| Founded | Unknown |
| Funding | Not disclosed |
Overview
Ona's approach is environment-first: rather than providing just an AI agent, Ona bundles secure sandboxed environments where agents operate. This addresses enterprise concerns about code security when AI executes commands. Deployed at Fortune 500 banks and pharmaceutical companies with SOC2 and GDPR compliance.
Strengths
- Security-first — OS-level isolation, not just containers
- Compliance ready — SOC2, GDPR, on-premise options
- Enterprise traction — Major banks and pharma deployments
- Scale — Claims 2M developers on platform
Cautions
- Black box pricing — No public pricing information
- Enterprise-only — Not accessible to individuals or small teams
- Limited visibility — Less documentation than competitors
- Unknown backing — Funding not disclosed
Key Stats
| Metric | Value |
|---|---|
| Pricing | Enterprise (custom) |
| Compliance | SOC2, GDPR |
| Developers | 2M claimed |
OpenCode
Most popular open-source coding agent with 101K GitHub stars and 75+ provider support.
| Quick Reference | |
|---|---|
| Website | opencode.ai |
| Founded | Unknown |
| Funding | OSS (community) |
Overview
OpenCode is the clear community favorite — 101K GitHub stars, 650+ contributors, 2.5 million monthly developers. Built by terminal.shop creators, it provides a provider-agnostic alternative to Claude Code and Codex. Available as desktop app, terminal CLI, and IDE extensions with support for 75+ LLM providers.
Strengths
- Massive community — 101K stars, 650 contributors, 8,500+ commits
- Provider freedom — 75+ model providers supported
- Cross-platform — Desktop (Mac/Win/Linux), CLI, IDE extensions
- LSP integration — Automatic language intelligence out of box
Cautions
- No cloud orchestration — Local-first means no background agent support
- Requires API keys — Users manage own model access
- No enterprise features — No Jira, signed commits, compliance
Key Stats
| Metric | Value |
|---|---|
| Pricing | Free (OSS) |
| Model Support | 75+ providers |
| GitHub Stars | 101K |
Tembo
Agent-agnostic orchestration platform with scheduled and event-triggered automations.
| Quick Reference | |
|---|---|
| Website | tembo.io |
| Founded | 2022 |
| Funding | $20M |
Overview
Tembo is the orchestration layer for AI coding agents — delegating work to Claude Code, Cursor, Codex, Amp, or OpenCode through familiar interfaces like Slack, Linear, GitHub, and Jira. Rather than building another agent, Tembo focuses on routing tasks, managing multi-repo operations, and integrating with team tools.
Strengths
- Agent-agnostic — Not locked to one AI provider; switch agents per task
- Full automation support — Scheduled (cron) and event-triggered workflows with MCP server access
- Work from anywhere — @tembo mentions work in Slack, Linear, GitHub, Jira
- Multi-repo coordination — Single task updates API, client libs, and docs
- Transparent pricing — Public tiers from free to enterprise
Cautions
- Credit-based pricing — Heavy users may find per-task credits add up
- Agent quality varies — Results depend on which agent you route to
- Learning curve — Optimal use requires understanding agent routing
Key Stats
| Metric | Value |
|---|---|
| Pricing | $60-200/mo |
| Agent Support | 5+ (Claude Code, Cursor, Codex, Amp, OpenCode) |
| Automations | Scheduled (hourly/daily/weekly/monthly) + event triggers (GitHub, Sentry, Linear, Slack) |
| Enterprise Features | SSO, SLA, BYOK |
Architecture/Pattern Analysis
Platform Categories
| Category | Vendors | Approach |
|---|---|---|
| AI IDE | Cursor | Full editor with AI integrated at every level |
| Autonomous Agent | Devin, Factory, Amp, cto.new, Ona | Independent agents that plan and execute |
| Orchestration Layer | Tembo, 8090, Conductor | Coordinate multiple agents and workflows |
| Infrastructure | Background Agents, OpenCode | Building blocks for custom agent systems |
Model Flexibility Approaches
| Approach | Vendors | Pros | Cons |
|---|---|---|---|
| Multi-provider | Cursor, Factory, Amp, OpenCode, cto.new | Maximum flexibility | Integration complexity |
| Agent-agnostic | Tembo, 8090, Conductor | Future-proof | Depends on underlying agents |
| Custom models | Devin | Optimized for use case | Vendor lock-in |
| OSS-first | OpenCode, Background Agents | Community + control | Self-managed |
Gap Analysis
| Feature | Cursor | Devin | Factory | OpenCode | Tembo |
|---|---|---|---|---|---|
| Multi-model support | ✅ | ❌ | ✅ | ✅ | ✅ |
| CLI-agnostic (any agent) | ❌ | ❌ | ❌ | ❌ | ✅ |
| Background agents | ✅ | ✅ | ✅ | ❌ | ✅ |
| Scheduled automations (cron) | ❌ | ❌ | ✅ | ❌ | ✅ |
| Event-triggered automations | ❌ | ✅ | ✅ | ❌ | ✅ |
| Multi-repo operations | ❌ | ❌ | ❌ | ❌ | ✅ |
| Jira integration | ❌ | ❌ | ✅ | ❌ | ✅ |
| BYOK / self-hosted | ✅ | ❌ | ✅ | ✅ | ✅ |
| Open source | ❌ | ❌ | ❌ | ✅ | ❌ |
| Free tier | ✅ | ❌ | ❌ | ✅ | ✅ |
Surface & Interface Matrix
| Platform | Cloud | Local Dev | Mac App | Mobile App | CLI/TUI | IDE Extension |
|---|---|---|---|---|---|---|
| Tembo | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| Factory | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ |
| Cursor | ❌ | ✅ | ✅ (is the app) | ❌ | ❌ | N/A (is IDE) |
| OpenCode | ❌ | ✅ | ✅ | ❌ | ✅ | ✅ |
| Devin | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| 8090 | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| Amp | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ |
| Conductor | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
| cto.new | ✅ | ❌ | ❌ | ❌ | ❌ | ✅ (MCP) |
| Ona | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
| Background Agents | ✅ | ✅ | ❌ | ❌ | ✅ | ❌ |
Key insight: Tembo is uniquely both model-agnostic and CLI-agnostic — it orchestrates any coding agent (Claude Code, Codex, Amp, OpenCode) rather than being locked to a single CLI tool. This means teams can swap underlying agents without changing their workflow integration.
Integrations Matrix
Integration depth determines how well a platform fits into existing team workflows.
| Category | Integration | Cursor | Devin | Factory | OpenCode | Tembo |
|---|---|---|---|---|---|---|
| Source Control | GitHub | ✅ | ✅ | ✅ | ✅ | ✅ |
| GitLab | ✅ | ⚠️ | ✅ | ✅ | ✅ | |
| Bitbucket | ✅ | ❌ | ⚠️ | ✅ | ✅ | |
| Project Mgmt | Linear | ❌ | ⚠️ | ✅ | ❌ | ✅ |
| Jira | ❌ | ❌ | ✅ | ❌ | ✅ | |
| Monitoring | Sentry | ❌ | ❌ | ⚠️ | ❌ | ✅ |
| Databases | PostgreSQL | ❌ | ❌ | ❌ | ❌ | ✅ |
| Supabase | ❌ | ❌ | ❌ | ❌ | ✅ | |
| AWS RDS | ❌ | ❌ | ❌ | ❌ | ✅ | |
| Communication | Slack | ❌ | ✅ | ✅ | ❌ | ✅ |
| Raycast | ❌ | ❌ | ❌ | ❌ | ✅ |
Legend: ✅ = Native integration | ⚠️ = Limited/beta | ❌ = Not available
Integration leaders:
- Tembo — Widest integration set (11 native integrations across all categories)
- Factory — Strong project management (Linear, Jira) and communication (Slack)
- Cursor — Source control only (as IDE, relies on git)
- Devin — Slack + GitHub focus
Key differentiator: Tembo is the only platform with native database integrations (PostgreSQL, Supabase, AWS RDS) — enabling agents to understand schema context for migrations and data-aware code changes.
Automation Capabilities Deep Dive
Automations — the ability to run agents on a schedule or in response to events — separate true autonomous platforms from interactive assistants.
| Platform | Scheduled (Cron) | Event Triggers | Example Use Cases |
|---|---|---|---|
| Tembo | ✅ Hourly/daily/weekly/monthly | ✅ GitHub, Sentry, Linear, Slack events | Daily security scans, auto-fix Sentry errors, PR description generation |
| Factory | ✅ Configurable schedules | ✅ PR events, issue creation | Automated code review, recurring maintenance |
| Devin | ❌ | ✅ Slack/issue triggers | Respond to assigned tasks |
| 8090 | ⚠️ Limited | ⚠️ Via integrations | Requirements sync, architecture updates |
| Cursor | ❌ | ❌ | Interactive only |
| OpenCode | ❌ | ❌ | Interactive only |
| Amp | ❌ | ❌ | Interactive only |
| Conductor | ❌ | ❌ | Local parallel execution only |
| cto.new | ❌ | ❌ | Interactive only |
Key distinction: Tembo and Factory offer the richest automation capabilities — both scheduled (cron) and event-triggered workflows with full MCP server support. Most competitors remain interactive-only, requiring human initiation for each task.
Bottom line: No single platform does everything. Cursor dominates IDE-based work, Tembo leads in orchestration/integration and automations, OpenCode wins for OSS flexibility, and Factory/Devin target enterprise autonomous execution.
Strategic Recommendations
By Primary Need
| Primary Need | Recommended | Why | Runner-Up |
|---|---|---|---|
| Automated workflows | Tembo | Only platform with cron + event triggers + 11 integrations | Factory |
| Individual productivity | Cursor | Dominant IDE, Fortune 500 proven | OpenCode |
| CLI/terminal workflow | OpenCode | 75+ providers, Mac/Win/Linux apps | Amp |
| Enterprise autonomous agents | Factory | SOC2, model flexibility, Wipro backing | Devin |
| Multi-repo coordination | Tembo | Only platform with native multi-repo | 8090 |
| Database-aware agents | Tembo | Only platform with PostgreSQL/Supabase/RDS | None |
| Jira/Linear integration | Tembo | Native bidirectional sync | Factory |
| Sentry auto-fix | Tembo | Only platform with native Sentry integration | None |
| Budget-conscious | cto.new | Free frontier models | OpenCode |
| Regulated industries | Ona | Bank/pharma deployments, SOC2/GDPR | Factory |
| Open source | OpenCode | 101K stars, full control | Background Agents |
| Mac-native parallel | Conductor | Native app, git worktree isolation | Cursor |
By Buyer Profile
Enterprise DevOps (100+ engineers): → Tembo for automation + integration depth (Sentry, Linear, Jira, Slack, databases) with agent flexibility. Factory if you need SOC2 out of the box. Ona for heavily regulated environments.
Growth-stage startup (10-50 engineers): → Cursor for AI IDE adoption + Tembo for automated workflows (Sentry error fixes, PR generation, security scans). Evaluate cto.new if budget is tight.
Solo developer / indie hacker: → OpenCode for CLI flexibility with zero cost, or Cursor Free for familiar VS Code. cto.new if you want cloud agents without subscriptions.
Teams with existing Linear/Jira workflows: → Tembo — only platform that can automatically pick up tickets, execute with any agent, and post back to your PM tool.
Teams needing database migrations: → Tembo — PostgreSQL, Supabase, and AWS RDS integrations give agents schema context that no other platform offers.
Market Outlook
Near-Term (2026)
- Automations become table stakes — Platforms without cron/event triggers lose enterprise deals
- Integration depth drives adoption — Teams choose based on Linear/Jira/Sentry support, not model access
- Cursor continues IDE dominance; likely acquires smaller competitors
- At least two platforms in this report will be acquired or shut down
Medium-Term (2027-2028)
- Orchestration emerges as distinct category — separate from IDE and Agent segments
- Enterprise standardizes on 2-3 agent combinations with orchestration glue
- Database integrations become differentiator — Schema-aware agents outperform blind ones
- Multi-repo operations become table stakes; single-repo tools relegated to individual use
- BYOK and self-hosted options become mandatory for regulated industries
Long-Term (2029+)
- Integration-poor platforms commoditize — Model access alone insufficient for team adoption
- Agent orchestration becomes as standard as CI/CD pipelines
- Open-source agents match commercial alternatives in capability
- Background agents run continuously in production, triggered by monitoring and PM tools
- CLI-agnostic orchestrators win — Teams want to swap agents without changing workflows
Bottom Line
Model flexibility is now table stakes — the real differentiation is automation depth, integration breadth, and surface coverage.
Leaders by Dimension
| Dimension | Leader | Why |
|---|---|---|
| Automations | Tembo | Only platform with cron + event triggers + MCP support |
| Integrations | Tembo | 11 native integrations (2-4x competitors) |
| CLI/Agent flexibility | Tembo | Orchestrates any CLI agent without lock-in |
| AI IDE | Cursor | Half the Fortune 500, $29B valuation |
| Open Source | OpenCode | 101K stars, 75+ providers |
| Enterprise Agents | Factory | SOC2, Wipro backing, self-improving Droids |
| Database-aware | Tembo | Only platform with PostgreSQL/Supabase/RDS |
The Strategic Question
Do you need an agent or an orchestrator?
- Agent (Cursor, Devin, Factory): Best for individual productivity and well-defined tasks
- Orchestrator (Tembo, 8090): Best for team workflows, automated pipelines, and multi-tool environments
The platforms that win will be those with the deepest integrations into existing team workflows — not just the best AI model access. Model providers will commoditize; workflow integration won't.
If you're choosing today: Start with your integration requirements (Linear? Jira? Sentry? Slack?), then your automation needs (cron? event triggers?), then your surface preferences (CLI? IDE? web?). Model support is the last filter, not the first.
Research by Ry Walker Research • methodology
Disclosure: Ry Walker is CEO of Tembo, which competes in this category. This report aims for objectivity but readers should note the affiliation.