tech-search

You can research complex technical topics by decomposing queries into parallel search tasks, extracting technical facts, and synthesizing findings into structured documentation with evidence-based reports.

Comparing architectural patterns is best handled by an automated research pipeline that executes parallel searching, deep extraction, and coverage evaluation to synthesize findings into a clean report.

You cannot generate production code from automated technical research. The research pipeline operates within a strictly defined scope to provide technical insights, benchmarks, and architectural comparisons only.

Multi-agent orchestration for deep technical research works by using specialized workers to fetch and extract technical facts, code examples, and expert recommendations from web sources into structured documentation.

The technical research pipeline requires no external dependencies to analyze documentation. It operates autonomously using a 6-phase workflow including auto-clarification, parallel searching, and coverage evaluation.

You should not use an automated research pipeline when you need to generate production code or operate outside strict file-system guardrails, as it focuses solely on technical insights and structured documentation.