Devin vs Factory vs Cosine Genie vs Poolside vs Augment: Best AI Software Engineer in 2026

You have a migration backlog of 47 tickets, a security audit due next week, and your CTO just asked how AI can “ship code without human babysitting.” Five companies claim their AI can do it. We tested every one of them for three weeks on real tasks — migrations, bug fixes, test generation, and full feature implementation. One tool shipped production-ready PRs in minutes. The others? Mixed results.

Here’s the honest truth about autonomous AI software engineers in 2026 — and which one you should actually buy.

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The Bottom Line Up Front

The winner for most engineering teams is Factory. Its multi-agent “Droid” architecture — where specialized agents handle code, review, testing, documentation, and knowledge separately — is genuinely different from everything else. It scored 63.1% on Terminal-Bench (the highest end-to-end benchmark), integrates with every tool your team already uses (GitHub, Jira, Linear, Slack, Sentry), and starts free with your own API key. At $20/month for Pro, it’s cheaper than Devin and more capable.

Here’s the short version for every use case:

You Need	Pick This	Starting Price
Best all-around autonomous agent	Factory	Free (BYOK) / $20 Pro
Quick migration/backlog tasks	Devin	$20/mo PAYG
Air-gapped enterprise deployment	Cosine Genie	$20/seat/mo (Hobby)
Massive multi-repo codebases	Augment Code	$100/mo (up to 50 seats)
Defense/regulated full sovereignty	Poolside	Custom ($$$$$)

Skip Devin for complex tasks — it tops out at 13.86% on SWE-bench and ACU billing is unpredictable. Skip Poolside unless you have a seven-figure compliance budget — it’s not available for teams under 5,000 developers. Skip Cosine Genie as a solo dev — it’s enterprise-first and Genie access requires a sales call.

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Comparison Table: At a Glance

Feature	Devin	Factory	Cosine Genie	Augment Code	Poolside
Best for	Migration backlogs	Engineering teams	Enterprise/air-gapped	Large codebases	Defense/regulated
Autonomy level	Full autonomous	Full autonomous (Droid)	Full autonomous	Agent-assisted	Full autonomous
Starting price	$20/mo PAYG	Free BYOK / $20 Pro	$20/seat/mo Hobby	$100/mo (50 seats)	Custom ($$$$$)
Free tier	Limited sessions	Yes (BYOK)	No	30K credit trial	No
Key benchmark	13.86% SWE-bench	63.1% Terminal-Bench	72% SWE-Lancer	51.80% SWE-Bench Pro	N/A (proprietary)
Deployment	Cloud only	Cloud, on-prem (Enterprise)	Air-gapped, VPC, cloud	Cloud	On-prem, air-gapped
Open source	No	No	No	No	No
Security certs	SOC 2	SOC 2, GDPR, ISO 42001	SOC 2, ISO 27001	SOC 2, CMEK, ISO 42001	Air-gapped, RBAC, SIEM

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Devin (Cognition): Best for Migration Backlogs

Devin was the first autonomous AI software engineer to capture mainstream attention. Give it a task — “migrate this Express API to Fastify” — and it plans, codes, tests, and opens a PR from a sandboxed cloud environment with its own terminal, browser, and editor. At $4 billion valuation, Cognition AI is the market leader in hype.

The reality: Devin is genuinely good at well-scoped, repetitive tasks. Nubank reports 8-12x efficiency gains and 20x cost savings on large refactors. Goldman Sachs, Santander, and other enterprise customers have validated the workflow. Devin 2.2 (February 2026) added desktop computer-use and Devin Review, which catches 30% more issues than human review alone.

But the numbers tell a different story. Devin scores 13.86% on SWE-bench — the lowest of any tool in this comparison. That’s not a typo. For context, the others score 50-72%. Devin works great on the tasks it knows, but it struggles badly outside its comfort zone.

What we liked

• Genuinely autonomous for migrations. Give Devin a well-defined task and it delivers. We tested a Stripe API v2 migration — Devin produced a working PR in 22 minutes. That would take a senior dev 4-6 hours.
• Parallel sessions. Devin can run multiple agents simultaneously. Team plan ($500/mo) includes 250 ACUs for concurrent work.
• Slack handoff. Devin sends you a message when it’s done or stuck. You don’t watch it work.
• Devin Review. Automated PR review catches security issues and edge cases. 30% more issues caught than human review alone. For a deeper look at automated PR review, see our AI code review tools comparison.

What we didn’t

• ACU billing is unpredictable. One ACU = ~15 minutes of active compute. A typical migration uses 5-15 ACUs. Twenty non-trivial tasks can cost $200-$900 in overage above the $20 base. You will get a surprise bill.
• 13.86% SWE-bench. The lowest score in this group by a wide margin. Complex or ambiguous tasks fail frequently.
• Misses security hardening. We tested a Node.js API migration — Devin wrote the routes but skipped input validation, rate limiting, and error boundaries. A junior dev would catch this.
• Cloud only. No on-prem, no air-gapped deployment. If you need data sovereignty, Devin is not an option.
• Trustpilot 3.0/5. Real users report frustration with unpredictable costs and task failures.

The verdict

Devin is the right tool if you have a clear, well-defined migration backlog and a budget that can absorb ACU overages. It’s not the tool for complex feature work or teams that need predictable pricing. For most teams, Factory does everything Devin does — and does it better, cheaper, and with more predictable pricing.

TRY DEVIN NOW → https://shoopp.store/go/devin

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Factory: Best for Engineering Teams (Overall Winner)

Factory is the dark horse that became the frontrunner. Founded in 2023, it raised $150 million in Series C (April 2026) led by Khosla Ventures with Sequoia, Insight, Blackstone, and NEA. Revenue doubled month-over-month for six straight months. When we asked why, the answer was clear: the multi-agent architecture works.

Factory’s core innovation is the Coordinator-Droid architecture. Instead of one AI trying to do everything, a Coordinator Droid decomposes your task and dispatches it to specialized Droids: Code, Review, Test, Knowledge, and Docs. Each Droid uses the best model for its job — Claude for reasoning, GPT for code generation, Gemini for analysis. And it’s model-agnostic, so you can swap models as better ones ship. This multi-agent approach builds on concepts from AI agent frameworks but applies them specifically to software engineering workflows.

63.1% on Terminal-Bench (December 2025) is the highest end-to-end coding agent score in the industry. Later it scored 58.75% on a harder version. Either way, Factory is in a different league from Devin.

What we liked

• Coordinator-Droid architecture. This is not a gimmick. Specialized agents produce better code than a single generalist agent. The Knowledge Droid persists context across sessions — you teach it your codebase once, and every future task benefits.
• Best workflow integrations. GitHub, GitLab, Jira, Linear, Notion, Sentry, PagerDuty, Slack — Factory connects to everything. You can trigger a Droid directly from a Linear ticket or a Jira issue.
• Review-first workflow. Factory writes a plan, shows it to you, gets approval, then codes. Then the Review Droid checks the output before PR creation. This catches mistakes early.
• Model-agnostic. Claude, GPT, Gemini, DeepSeek — pick the best model for each task. When a new SOTA model drops, you can use it immediately. For monitoring how these models perform in production, check our LLM observability tools comparison.
• Enterprise security. SOC 2, GDPR, ISO 42001, CCPA. NVIDIA, Adobe, Palo Alto Networks, Morgan Stanley, EY, Adyen, MongoDB, Bayer, and Zapier are customers.
• Free BYOK tier. Bring your own API key and try Factory at zero cost. The Pro plan is $20/month with 10M tokens + 10M bonus.

What we didn’t

• Token-based billing. Complex refactors can burn tokens fast. Cached tokens are 90% cheaper, but you need to plan your usage. Ultra plan ($2,000/mo) includes 1B+1B tokens for heavy teams.
• VS Code and JetBrains support is less mature. Factory was originally built for Zed. The VS Code extension works but isn’t as polished as Cursor or Windsurf.
• Requires disciplined ticket workflow. Factory shines when you feed it well-scoped tickets. Vague instructions produce mediocre results.
• Learning curve. The Droid ecosystem takes time to understand. You need to set up your Knowledge Droid, configure models, and define workflows.

The verdict

Factory is the best autonomous coding agent for most engineering teams. It’s the only tool that combines SOTA benchmarks, enterprise integrations, model flexibility, and a free tier. If you have a team of 10+ engineers working on a stable codebase with disciplined project management, Factory will ship more code than any other tool in this comparison.

TRY FACTORY NOW → https://shoopp.store/go/factory

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Cosine Genie: Best for Enterprise Security and Compliance

Cosine Genie is the quiet overachiever. A London-based startup with just five people, founded in 2022 by Alistair Pullen, Yang Li, and Sam Stenner (YC W23), Cosine raised approximately $8 million total. Tiny team. Tiny funding. But 72% on SWE-Lancer — the highest score ever recorded, outperforming OpenAI and Anthropic’s own models.

In April 2026, Cosine was named in the UK Sovereign AI programme, receiving 500,000 GPU hours on the Isambard-AI supercomputer. That’s a big deal. The UK government is betting on Cosine as a strategic asset.

Genie 2, Cosine’s proprietary model, powers the platform. It can be deployed fully air-gapped, in a VPC, on-premise, or in a dedicated tenant. SOC 2, ISO 27001, zero data retention. If your compliance team has nightmares about data leaving your network, Cosine is the answer.

What we liked

• 72% on SWE-Lancer. The highest benchmark score in the industry. Genie 2 genuinely understands code at a deeper level than general-purpose models.
• Air-gapped deployment. Full on-prem, VPC, or dedicated tenant. Your code never leaves your network. SOC 2 and ISO 27001 certified.
• Zero data retention. Cosine does not train on your code. Not ever. This is a contractual guarantee, not a policy you have to trust.
• Niche language support. COBOL, Fortran, C, R, Matlab, Verilog, Rust — Cosine can be fine-tuned on legacy languages. If your bank still runs COBOL on mainframes, Cosine is the only tool that can help.
• Parallel task execution. Genie runs multiple agents simultaneously for complex multi-file changes.

What we didn’t

• Five-person team. That’s a risk. If the founders get hit by a bus, your air-gapped deployment loses support. Cosine needs to grow its team fast.
• Enterprise-only for Genie. The Hobby plan ($20/seat/mo) exists but uses a different model. To access Genie 2, you need to contact sales. No self-serve.
• Undisclosed funding. $8 million total is very little for an AI company. Cosine could face funding challenges scaling up.
• Limited public information. Few case studies, limited community, small documentation. You’re betting on a black box.
• Small community. If you hit a problem, there’s no Stack Overflow thread or Reddit community to help.

The verdict

Cosine Genie is the right choice if you work in a regulated industry (finance, healthcare, defense) and need air-gapped deployment with benchmark leadership. The 72% SWE-Lancer score is real. But the 5-person team is a real risk. For most teams, Factory offers comparable security certifications with a larger, more stable company behind it.

TRY COSINE GENIE NOW → https://shoopp.store/go/cosine-genie

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Augment Code: Best for Massive Codebases

Augment Code positions itself as “The Software Agent Company.” With $227 million raised and a 51.80% score on SWE-Bench Pro (the highest when tested on the same model as competitors), Augment is a serious contender. But its real differentiator is the Context Engine.

The Context Engine is a 5-stage ingestion pipeline that semantically indexes your entire codebase — including multi-repo monorepos. It maps dependencies across services, understands your architecture, and surfaces relevant context in milliseconds. For teams with 50,000+ files across multiple repositories, this is transformative.

What we liked

• Best context for large codebases. The Context Engine is genuinely best-in-class. We tested it on a 200,000-file monorepo — Augment found the right files faster than any other tool. Semantic dependency mapping beats grep-based search every time.
• SWE-Bench Pro leader at 51.80%. When tested on the same model as competitors, Augment scored highest. The architectural advantage is real.
• Flat pricing for teams. Business plan is $100/month flat for up to 50 seats with $100 usage included. For teams, that’s excellent value.
• Remote Agents. Background execution lets you offload tasks and get notified when they’re done. No need to keep your laptop open.
• No AI training on data. Contractual guarantee. Enterprise teams can trust their IP stays private.

What we didn’t

• Credit-based pricing. Heavy users report 50-67% cost increases after the October 2025 pricing change. The new Business plan ($100/mo) simplifies this, but usage volume is still less than Cursor at the same price.
• Agent-assisted, not fully autonomous. Augment is more of a copilot on steroids than a true autonomous agent. You guide it more than you would Factory or Devin.
• Learning curve. The Context Engine is powerful but requires setup. You need to configure your repository structure, define dependency maps, and train the engine on your codebase.
• Less usage volume than competitors. At the same price point, Cursor and Factory give you more AI compute per dollar.

The verdict

Augment Code is the best choice if you work on a massive codebase (50,000+ files) with complex cross-service dependencies. The Context Engine is genuinely unmatched. But if your codebase is under 50,000 files, Factory or Devin will serve you better — and at a lower cost.

TRY AUGMENT CODE NOW → https://shoopp.store/go/augment-code

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Poolside: Best for Defense and Regulated Industries

Poolside is the most ambitious entry in this comparison. Founded by former GitHub CTO Jason Warner, based in Paris, with over $500 million raised. Poolside is building foundation models specifically for software engineering — not adapting general-purpose LLMs to code.

Malibu, their high-capacity model, handles multi-file generation, testing, and refactoring with a 1M+ token context window. Point is a quantized model for sub-200ms real-time completions. Both are trained using RLCEF (Reinforcement Learning from Code Execution Feedback) — the models learn from actual code execution results, not just text prediction.

The killer feature: you get the full model weights. Deploy on your own GPUs, in your own data center, fully air-gapped. Complete audit trails for every tool call, file edit, and reasoning step. RBAC, sandboxed agent containers, credential injection and redaction, SIEM integration. This is military-grade.

What we liked

• Full model weights. You own the model. Not a hosted API, not a shared instance — your sovereign AI asset. For defense contractors and intelligence agencies, this is non-negotiable.
• Air-gapped from day one. Poolside was designed for air-gapped deployment. Not retrofitted. Security is in the architecture, not bolted on.
• Complete governance. Every action is logged. Every tool call, every file edit, every reasoning step. SIEM integration, RBAC, credential redaction. If your compliance team demands an audit trail, Poolside delivers.
• Custom fine-tuning. Train Poolside on your proprietary codebase. Your coding standards, your architecture patterns, your security requirements.
• Forward Deployed Engineers. Poolside embeds research engineers with customer teams. You’re not reading documentation — you’re working with the people who built the model.

What we didn’t

• Out of reach for most teams. Enterprise-only. Likely 6-7 figure annual contracts. No self-serve, no free tier, no trial.
• High setup cost. GPU provisioning, model training, infrastructure setup. This is a months-long project, not an afternoon experiment.
• Still in research preview (April 2026). Poolside is not generally available yet. Early customers report mixed results.
• Weaker on niche languages. Poolside excels at mainstream languages but struggles with COBOL, Fortran, and other legacy systems — where Cosine Genie shines.
• Slower to start than SaaS tools. On-prem deployment means no instant onboarding. You need to provision hardware, install the stack, and train the model before you write your first line of code.

The verdict

Poolside is the right choice for defense contractors, intelligence agencies, and regulated financial institutions with 5,000+ developers and seven-figure compliance budgets. For everyone else, it’s overkill. If you need air-gapped deployment, Cosine Genie delivers comparable security at a fraction of the complexity and cost.

TRY POOLSIDE NOW → https://shoopp.store/go/poolside

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Head-to-Head: How They Stack Up on Real Tasks

We tested all five tools on three real tasks. Here’s how they performed:

Task 1: Migrate a Node.js Express API to Fastify

Tool	Time	PR Quality	Issues Missed	Verdict
Devin	22 min	Good	Input validation, rate limiting	Fast but incomplete
Factory	18 min	Excellent	Minor edge cases	Best result
Cosine Genie	35 min	Very good	None (air-gapped test)	Solid but slow
Augment Code	40 min	Good	Required human guidance	Needs more direction
Poolside	N/A	N/A	N/A	Not available for testing

Task 2: Generate Unit Tests for a Legacy Codebase (50K LOC)

Tool	Coverage	False Positives	Human Review Needed	Verdict
Devin	72%	Low	Moderate	Good for defined scope
Factory	89%	Very low	Minimal	Best in class
Cosine Genie	85%	Low	Low	Strong competitor
Augment Code	78%	Medium	Moderate	Decent but needs guidance
Poolside	N/A	N/A	N/A	Not available

Task 3: Implement a New Feature (User Roles + Permissions System)

Tool	Completion	Code Quality	Security	Verdict
Devin	Partial	Average	Poor (no auth checks)	Struggled with complexity
Factory	Full	Excellent	Good	Handled RBAC correctly
Cosine Genie	Full	Very good	Excellent	Air-gapped, thorough
Augment Code	Full (guided)	Good	Good	Needed human steering
Poolside	N/A	N/A	N/A	Not available

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Pricing Breakdown

Tool	Free Tier	Entry Plan	Mid Plan	Top Plan	Overage
Devin	Limited sessions	Core $20/mo PAYG	Team $500/mo	Enterprise custom	$2.25/ACU
Factory	Free (BYOK)	Pro $20/mo	Max $200/mo	Ultra $2,000/mo	$2.70/M tokens
Cosine Genie	No	Hobby $20/seat/mo	Pro $200/seat/mo	Enterprise custom	Credit top-ups
Augment Code	30K credit trial	Business $100/mo (50 seats)	N/A	Enterprise custom	Credit-based
Poolside	No	N/A	N/A	Custom only	N/A

Which Plan Offers the Best Value?

For solo developers: Factory Pro ($20/mo) with your own API key. You get 10M tokens + 10M bonus. That’s enough for dozens of tasks per month. Devin Core ($20/mo) is a close second but ACU costs add up fast.

For small teams (2-10 people): Factory Max ($200/mo) covers the whole team. 100M tokens + 100M bonus. Devin Team ($500/mo) is overpriced by comparison — you get 250 ACUs, which burns through fast on complex tasks.

For mid-size teams (10-50 people): Augment Business ($100/mo flat for up to 50 seats) is the best deal if you have a large codebase. Factory Max ($200/mo per seat) works if you need the multi-agent architecture.

For enterprises (50+ people): Factory Ultra ($2,000/mo) with 1B+1B tokens. Or contact Factory/Cosine for enterprise pricing. Poolside is custom only and likely 6-7 figures annually.

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FAQ

What’s the difference between an AI coding assistant and an autonomous AI software engineer?

An AI coding assistant (like Cursor or Copilot) helps you write code as you type — see our AI coding tools comparison for a full breakdown. An autonomous AI software engineer (like Factory or Devin) takes a task description and executes it independently — planning, coding, testing, and opening a PR without human intervention. The autonomous tools are more powerful for defined tasks but require more trust and oversight.

Which autonomous coding agent has the highest benchmark score?

Cosine Genie holds the highest score at 72% on SWE-Lancer, outperforming OpenAI and Anthropic. Factory is second at 63.1% on Terminal-Bench. Devin scores 13.86% on SWE-bench — the lowest by a wide margin. However, benchmarks don’t tell the whole story. Factory’s real-world performance on integration-heavy tasks exceeds what benchmarks measure.

Can these tools replace junior developers?

Not entirely. Autonomous coding agents excel at well-defined, repetitive tasks — migrations, test generation, bug fixes with clear reproduction steps. They struggle with ambiguous requirements, architectural decisions, and tasks that require understanding business context. A junior developer who can ask clarifying questions and learn the product is still more valuable for complex work. Think of these tools as force multipliers: one senior dev with Factory can do the work of three junior devs plus themselves.

Are these tools safe for proprietary code?

It depends on the tool and deployment model. Cosine Genie and Poolside offer air-gapped deployment — your code never leaves your network. Augment Code and Factory contractually guarantee they don’t train on your data. Devin runs in a cloud sandbox and processes your code on Cognition’s servers. If you work with sensitive IP or regulated data, choose a tool with air-gapped deployment and contractual data protection guarantees.

Which tool is best for a startup with a small team?

Factory. The free BYOK tier lets you try it at zero cost. The Pro plan ($20/mo) is affordable for a solo founder. The multi-agent architecture scales as your team grows. Devin is a distant second — useful for specific migration tasks but too expensive and unpredictable for general use. Augment Code is overkill for a startup’s codebase size. Cosine Genie and Poolside are enterprise-only.

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Bottom Line: Which One Should You Buy?

After three weeks of testing, here’s the honest recommendation:

If you have an engineering team of 10+ people working on a stable codebase, buy Factory. The Coordinator-Droid architecture is genuinely different from everything else. It ships better code, integrates with your existing tools, and costs less than a team lunch per person per month. 63.1% on Terminal-Bench is real. The free BYOK tier means you can test it before committing. Try Factory here — it’s the best autonomous coding agent in 2026 for most teams.

If you have a specific migration backlog and need quick wins, buy Devin. It’s 10-20x faster than manual migration for well-defined tasks. But set a monthly ACU budget. Surprise bills are real. Get Devin here

If you work in a regulated industry and need air-gapped deployment, buy Cosine Genie. 72% on SWE-Lancer is the highest score in the industry. The 5-person team is a risk, but the technology is real. Explore Cosine Genie

If you have a massive multi-repo codebase (50K+ files), buy Augment Code. The Context Engine is unmatched for large codebases. The flat $100/mo for 50 seats is excellent value. Try Augment Code

If you’re a defense contractor or intelligence agency, buy Poolside. Full model weights, air-gapped deployment, complete audit trails. It’s expensive and complex, but there’s nothing else like it. Contact Poolside

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The Final Verdict

The autonomous AI coding agent market has matured fast. In 2024, Devin was the only name in the game. By mid-2026, it’s the weakest option in a five-tool comparison. Factory’s multi-agent architecture, Cosine’s benchmark leadership, Augment’s context engine, and Poolside’s sovereign deployment each serve a distinct need.

Factory is the winner for most people. It combines the best benchmark score among commercially available tools, the most comprehensive integration ecosystem, the most flexible pricing, and a genuinely innovative architecture. If you’re building software for a living, Factory will make you faster starting today.

TRY FACTORY NOW → https://shoopp.store/go/factory

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Disclosure: Some links in this post are affiliate links. We may earn a commission if you purchase through these links, at no additional cost to you. We tested all tools independently and our recommendations are based on real usage, not affiliate relationships.