ArchitectFlow
AI Architecture Intelligence
Research, Design, Review
Multi-source news aggregation, semantic vector search, multi-agent architecture reviews, pattern library, and a training portal — all wired to the same knowledge base.
What It Does
Intelligence aggregation, design review, and continuous learning — unified.
ArchitectFlow doesn't just aggregate feeds — it understands them, indexes them semantically, and turns insight into capability through a native training portal.
News Aggregation
Multi-source ingestion via RSS, direct API, and web scraping. Claude-powered content analysis with NLP categorization. Three BullMQ workers: scraping, analysis, and alerts running async.
Semantic Search
pgvector embeddings across 27 database tables. Find conceptually related content, not just keyword matches. Ask "what are the tradeoffs of event sourcing at scale?" — get the answer from everything you've ingested.
Trend Detection
Automatic trend analysis across aggregated content. Custom keyword, source, and category alerts with configurable frequency. In-app, email, and push notifications when something you care about shifts.
Architecture Reviews
Multi-agent parallel reviews: Security, Performance, Architecture, and Testing agents run simultaneously against your design. Findings aggregated with severity levels, file references, and fix examples.
Learning Paths
Native training portal with courses, modules, labs, quizzes, and certifications. Learning paths curated for architecture and AI practitioners. Insight from the news feed flows directly into course content.
AI Tools Directory
Curated directory of AI tools relevant to architecture and development practice. Continuously updated from the aggregation pipeline. Filtered by category, use case, and maturity.
Who It's For
Practitioners who need to stay current without drowning in noise.
Solution Architects
Replace the daily ritual of scanning 20 RSS feeds and Slack channels. Get curated intelligence already analyzed for relevance to your practice — with semantic search when you need to go deep.
CTOs
Technology trend analysis that goes beyond headlines. Understand what shifts in the AI landscape mean for your stack, your team's skills, and your architecture decisions — before your peers are asking about it.
Technical Leads
Architecture reviews that run in parallel before you ship. Pattern library that learns from every review. Learning paths that keep the team's skills ahead of the technologies they're adopting.
Tool Replacement
What ArchitectFlow replaces — and saves.
| Tool You're Replacing | Typical Cost | What ArchitectFlow Does Instead |
|---|---|---|
| Feedly Pro / Inoreader | $8–$18/user/mo | Multi-source aggregation with Claude-powered content analysis — not just feed reading but semantic understanding of what each article means for your practice |
| Perplexity Pro / Consensus | $20–$40/user/mo | Semantic vector search using pgvector embeddings across your ingested corpus — find conceptually related content, not just keyword matches |
| Coursera / Pluralsight | $29–$45/user/mo | Native training portal with courses, modules, labs, quizzes, and certifications — learning paths curated for architecture and AI practitioners |
| Custom Slack alert bots | $0 + engineering time | Alert engine for keyword, source, and category triggers with configurable frequency — in-app, email, and push delivery built in, no maintenance required |
| Miro / Lucidchart | $8–$16/user/mo | Plan builder and architecture review tools built into the planning workflow — structured artifacts, not whiteboard exports |
For a 5-person architecture team: $3,900–$7,200/year in direct tool savings, plus engineering time not spent maintaining custom alert systems.
The Agents
Specialized agents for every phase of architecture work.
code-architect SOLID principles, design patterns, circular dependency detection, coupling analysis
solution-designer Solution specification, OpenAPI contract design, integration architecture patterns
security-auditor Vulnerability assessment, auth review, SQL injection, crypto weakness detection
performance-analyzer N+1 query detection, algorithm complexity, memory leak analysis, caching gaps
contract-designer Unified API contracts shared by frontend and backend with type-safe interfaces
integration-architect Data fetching patterns, state management, caching strategy, error handling design
Workflows
Architecture reviews and design sessions that actually scale.
Architecture Review
3 steps — parallel agents, structured findings
- Trigger
architect:reviewwith scope and branch - Security, Performance, and Architecture agents run in parallel (3–5 min)
- Findings delivered with severity, file refs, and fix examples
Solution Design
3 steps — spec → validate → build ready
- Create planning session with
architect:planin isolated git worktree - Multi-agent review validates the design from 4 perspectives
- Approved design exported as structured spec for implementation handoff
Intelligence Research
Continuous — not a scheduled task
- Sources ingested continuously via RSS, API, and web scraping workers
- Claude analyzes each article for relevance, category, and trend signals
- Alerts fire when configured keywords, sources, or categories match
The API
GraphQL. Type-safe. Query anything.
18 GraphQL queries and 12 mutations cover the full intelligence surface. Query aggregated articles, semantic search results, alert configurations, learning path progress, and architecture review findings from a single typed API.
query SearchIntelligence($query: String!) {
semanticSearch(query: $query) {
articles {
title
relevanceScore
categories
publishedAt
}
trends {
keyword
velocity
relatedTopics
}
}
}Before / After
An architect's week. With and without ArchitectFlow.
- Monday morning: 45 minutes reading 20 RSS feeds, most of it noise
- Architecture reviews scheduled as meetings, completed two weeks after the design decision was made
- Research for a new technology stack takes 3–4 hours of manual synthesis
- Learning happens when someone has slack time — not systematically
- Alert system is a fragile Slack bot that breaks when the webhook changes
- Monday morning: curated intelligence brief — only what's relevant, already analyzed
- Architecture reviews triggered at design time, findings back in 5 minutes before code exists
- Semantic search answers stack questions from your corpus instantly
- Learning paths update automatically as the intelligence feed identifies skill gaps
- Alert engine maintained by the platform — keyword and trend triggers just work
ArchitectFlow is running in production.
37 frontend pages. GraphQL API. 3 async workers. 122+ intelligence tests. Not a prototype.