Devlyn AI · PHP
PHP pods, owned by us. Embedded with you.
Senior PHP engineers under one retainer, with AI-augmented workflows that compress 100 hours of typical work to 25. Deployed in 24 hours.
Where $PHP fits
PHP pods typically ship enterprise API backends, complex CMS architectures, legacy system modernizations, and high-performance e-commerce platforms. Devlyn engineers ship modern, strongly-typed PHP 8.x architectures, strictly adhering to PSR standards, with robust dependency injection and comprehensive test suites.
AI-augmented PHP workflows lean on Cursor for rapid DTO generation, interface implementation, and PHPUnit test scaffolding — under senior validation that owns the architectural patterns (Hexagonal/Clean Architecture), memory management in long-running processes, and security review. Compression shows up strongest in modernizing legacy PHP 5/7 codebases into strictly typed PHP 8.
PHP engagements typically run as a single senior engineer or a small pod for $4,500–$9,000/month, often focused on rescuing or modernizing valuable legacy systems, or building high-throughput APIs using modern frameworks like Symfony or API Platform.
Where PHP pods land today
Six combinations that show up most often in the last few quarters of PHP discovery calls — vertical, geography, and the named-risk pattern each engagement designed around.
PHP · B2B SaaS · New York
PHP for B2B SaaS in New York
The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. PHP pods compress the work — php pods typically ship enterprise api backends, complex cms architectures, legacy system modernizations, and high-performance e-commerce platforms. On the Eastern (ET) calendar, fte-only paths to scale engineering in nyc routinely run 2–3 quarters behind the roadmap.
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PHP · B2B SaaS · San Francisco
PHP for B2B SaaS in San Francisco
The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. PHP pods compress the work — php pods typically ship enterprise api backends, complex cms architectures, legacy system modernizations, and high-performance e-commerce platforms. On the Pacific (PT) calendar, fte hiring in sf has slowed structurally since 2024 layoffs but compensation expectations have not.
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PHP · B2B SaaS · Los Angeles
PHP for B2B SaaS in Los Angeles
The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. PHP pods compress the work — php pods typically ship enterprise api backends, complex cms architectures, legacy system modernizations, and high-performance e-commerce platforms. On the Pacific (PT) calendar, la's hiring funnel competes with sf for senior talent at lower compensation envelopes.
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PHP · B2B SaaS · Boston
PHP for B2B SaaS in Boston
The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. PHP pods compress the work — php pods typically ship enterprise api backends, complex cms architectures, legacy system modernizations, and high-performance e-commerce platforms. On the Eastern (ET) calendar, boston fte pipelines run 4–6 months for senior backend roles.
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PHP · B2B SaaS · Chicago
PHP for B2B SaaS in Chicago
The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. PHP pods compress the work — php pods typically ship enterprise api backends, complex cms architectures, legacy system modernizations, and high-performance e-commerce platforms. On the Central (CT) calendar, chicago fte hiring runs 3–5 months for senior roles with reasonable base salaries vs coast hubs.
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PHP · B2B SaaS · Seattle
PHP for B2B SaaS in Seattle
The most common 2026 B2B SaaS engineering trap is integration-first roadmaps that fragment the codebase into per-customer hacks and one-off webhook handlers, creating a maintenance debt spiral that slows all future feature work. PHP pods compress the work — php pods typically ship enterprise api backends, complex cms architectures, legacy system modernizations, and high-performance e-commerce platforms. On the Pacific (PT) calendar, seattle fte pipelines compete with faang-tier salaries that startup budgets cannot match.
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What PHP depth at Devlyn looks like
Common use cases
PHP pods typically ship enterprise API backends, complex CMS architectures, legacy system modernizations, and high-performance e-commerce platforms. Devlyn engineers ship modern, strongly-typed PHP 8.x architectures, strictly adhering to PSR standards, with robust dependency injection and comprehensive test suites.
AI-augmented angle
AI-augmented PHP workflows lean on Cursor for rapid DTO generation, interface implementation, and PHPUnit test scaffolding — under senior validation that owns the architectural patterns (Hexagonal/Clean Architecture), memory management in long-running processes, and security review. Compression shows up strongest in modernizing legacy PHP 5/7 codebases into strictly typed PHP 8.
Engagement shape & pricing
PHP engagements typically run as a single senior engineer or a small pod for $4,500–$9,000/month, often focused on rescuing or modernizing valuable legacy systems, or building high-throughput APIs using modern frameworks like Symfony or API Platform.
Ecosystem fluency
PHP ecosystem depth covers Symfony for enterprise applications, API Platform for rapid REST/GraphQL generation, Doctrine ORM for complex data mapping, PHPUnit and Pest for testing, PHPStan/Psalm for rigorous static analysis, and Swoole/FrankenPHP for high-performance async execution.
Real outcomes
Calenso · Switzerland
4× productivity
5,000+ integrations on the platform after AI-augmented engineering replaced manual workflows.
Creator.ai
6 weeks → 1 week
6× faster delivery, 2× output per engineer, 50% leaner team.
Klaviss · USA
$4,800/mo pod
Two engineers + PM + shared DevOps. Real-estate platform overhaul shipped in 8 weeks.
Haxi.ai · Middle East
AI engagement at scale
Real-time, context-aware AI conversations across platforms — spec to production by one pod.
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Verticals where PHP ships well
PHP pods most often run engagements in the verticals below. Each links through to a vertical-level hub with named risks, compliance posture, and key metrics.
Metros where PHP pods deploy
Hand-picked cities where PHP engagements show up most. Each city has its own time-zone alignment and hiring-climate notes on the metro hub.
Common questions about PHP engagements
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What does a PHP pod actually own end-to-end?
Architecture, security review, and the PHP-specific patterns that production-grade work requires. PHP pods typically ship enterprise API backends, complex CMS architectures, legacy system modernizations, and high-performance e-commerce platforms. Devlyn engineers ship modern, strongly-typed PHP 8.x architectures, strictly adhering to PSR standards, with robust dependency injection and comprehensive test suites.
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How does AI-augmented PHP differ from a single contractor using AI tools?
AI-augmented PHP workflows lean on Cursor for rapid DTO generation, interface implementation, and PHPUnit test scaffolding — under senior validation that owns the architectural patterns (Hexagonal/Clean Architecture), memory management in long-running processes, and security review. Compression shows up strongest in modernizing legacy PHP 5/7 codebases into strictly typed PHP 8. The 4× compression comes from pod-level workflow design, not from individual tool adoption.
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What does a PHP engagement typically cost?
PHP engagements typically run as a single senior engineer or a small pod for $4,500–$9,000/month, often focused on rescuing or modernizing valuable legacy systems, or building high-throughput APIs using modern frameworks like Symfony or API Platform.
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Which PHP ecosystem libraries does Devlyn cover?
PHP ecosystem depth covers Symfony for enterprise applications, API Platform for rapid REST/GraphQL generation, Doctrine ORM for complex data mapping, PHPUnit and Pest for testing, PHPStan/Psalm for rigorous static analysis, and Swoole/FrankenPHP for high-performance async execution.
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How fast can the pod start?
Within 24 hours of greenlight after a 3-day free trial. The trial runs against a real scoped task, so you see the engineering depth before you sign anything. Replacement is free within 14 days if the fit is wrong.
When the next move is a conversation
Book a 30-minute discovery call. We will scope a PHP pod against your roadmap and timeline. No contracts. No commitment. Or run the Pod ROI Calculator against your current vendor's burn first.