FIG 0.1
Discovery & architecture
Architecture review, requirements mapping, and success metrics before a single line of code ships.
- Technical audit report
- Architecture blueprint
- Success metrics definition
About HostHob
HostHob is a remote-first web engineering agency focused on WordPress, Laravel, API layers, AI-augmented delivery, performance, and QA automation for teams that need enterprise-grade results without enterprise bloat.
Ship reliable digital platforms with measurable performance, clean architecture, and maintainable code — from anywhere in the world.
Distributed async delivery, component-driven themes, plugin-isolated business logic, and AI-augmented engineering that scales with your product.
WordPress, Laravel, PHP 8.2+, React, Node.js, MySQL, Redis, AWS, and production AI models — chosen for performance and long-term maintainability.
How we work
We are a distributed engineering agency built for async delivery. Our teams collaborate across time zones with documented processes, modern tooling, and zero mandatory office days.
12+
Countries
8
Time zones covered
100%
Async-first workflows
0
Mandatory office days
Written-first updates, documented decisions, and structured handoffs that keep distributed teams aligned without constant meetings.
Every workflow — from code review to deployment — is codified in playbooks accessible to every team member, anywhere.
We hire the best engineers regardless of location, building diverse teams with complementary time-zone coverage.
Modern tooling for pair programming, design reviews, and client workshops — effective whether you are across the hall or across the ocean.
FIG 0.1
Architecture review, requirements mapping, and success metrics before a single line of code ships.
FIG 0.2
Phased delivery plan with milestones, risk assessment, and stakeholder alignment across distributed teams.
FIG 0.3
Modular application architecture with CI/CD, code standards, and performance budgets baked in from day one.
FIG 0.4
Automated testing, Lighthouse budgets, and regression suites that protect release quality at every stage.
FIG 0.5
Production rollout with monitoring, alerting, and observability dashboards for real-time platform health.
FIG 0.6
Continuous optimization, automation, and platform evolution as traffic, teams, and scope grow.
Intelligent systems
We integrate the latest production-grade models — GPT-5.5, Claude Opus 4.8, Gemini 3.1 Pro, Llama 4, and more — into client platforms with RAG pipelines, agent orchestration, and cost-aware routing.
Models supported
27+
Providers
10+
Deployment
Cloud · Hybrid · Self-hosted
Latest-generation reasoning models for complex analysis, agentic workflows, and production conversational systems.
Unified routing system with deep reasoning tiers — ideal for terminal automation, code generation, and multi-step problem solving.
Top-tier agentic coding, long-horizon tasks, and professional knowledge work with extended thinking and dynamic workflows.
2M-token context window for repository-scale RAG, multimodal analysis, and high-volume document processing.
Fast inference with vision and 1M context — strong value for real-time assistants and high-throughput pipelines.
Purpose-built models and harnesses for software engineering, CI automation, and autonomous developer agents.
Terminal-native coding agent with Codex CLI integration — refactors, test generation, and repo-wide changes.
Balanced speed and capability for daily engineering tasks, code review, and pair-programming workflows.
Cost-efficient coding and reasoning at scale — strong SWE-bench performance with aggressive token pricing.
480B-parameter coding specialist for complex architecture decisions and large codebase navigation.
Deploy on your infrastructure for data sovereignty, air-gapped environments, and predictable inference costs.
Open-weight flagship with strong general reasoning — self-hostable via vLLM, Ollama, or custom GPU clusters.
10M-token context for massive document corpora, log analysis, and enterprise knowledge bases.
Open reasoning model with chain-of-thought — math, logic, and structured decision pipelines.
EU-friendly deployment option with multilingual support and efficient MoE architecture.
Retrieval-augmented generation stacks for semantic search, knowledge bases, and domain-specific Q&A.
High-dimensional embeddings for precision semantic search and hybrid retrieval pipelines.
Domain-tuned retrieval embeddings optimized for code, legal, and finance document collections.
Multimodal embeddings for text, image, and document chunks in unified vector stores.
Chunking strategies, reranking, hybrid search, and evaluation harnesses tailored to client data.
Image, video, and document understanding for OCR, moderation, visual search, and content extraction.
Screenshot analysis, UI testing, diagram interpretation, and visual QA automation.
Document OCR, chart extraction, and visual-acuity tasks with industry-leading accuracy.
Native video, audio, and image understanding in a single multimodal pipeline.
Custom classifiers for product recognition, defect detection, and brand-specific visual moderation.
Transcription, voice interfaces, and audio content processing for accessibility and automation.
Multilingual speech-to-text with timestamp alignment for meetings, podcasts, and support calls.
Low-latency voice agents with streaming audio input and natural conversational responses.
Real-time audio understanding and voice-driven application control.
Frameworks and routing layers that connect models, tools, and APIs into reliable multi-step agent workflows.
Stateful agent graphs with human-in-the-loop checkpoints and durable execution.
Data connectors, query engines, and agent workflows over structured and unstructured sources.
Intelligent request routing across models by cost, latency, capability, and fallback policies.
LoRA and full fine-tuning on client data for task-specific accuracy and reduced hallucination.
How we integrate
Every AI engagement follows a repeatable framework — model selection is benchmarked against your data, not hype cycles.
01
Audit existing workflows, define success metrics, and identify high-ROI AI integration points.
02
Benchmark frontier, open-source, and specialized models against your data with accuracy, latency, and cost scoring.
03
API layers, prompt governance, PII handling, and access controls wired into your existing WordPress or Laravel stack.
04
Vector stores, retrieval pipelines, tool calling, and agent orchestration deployed with CI/CD and staging gates.
05
Token cost tracking, quality regression tests, drift detection, and model version upgrades on a defined cadence.
Projects Shipped
120+
+12%
Uptime SLA
99.9%
+0.2%
Active Clients
45
+8
Response Time
<2h
-15%
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