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See scoped evidence, workflow continuity, reviewed memory inputs, impact chains, and verification plans for AI coding agents.
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Workflow loopConnect once, load project intelligence, carry state forward.Why SniparaThe explicit difference from an agent working alone.Project IntelligenceShared state, decisions, impact, outcomes, and verification before edits.Code Graph + SandboxImpact analysis and repeatable execution inside the same layer.Proof replayA controlled before/after replay on real Snipara engineering work.Evaluation methodHow Snipara measures discovery, planning quality, and verification evidence.Verification plansRecommended checks, risk, and missing gates before edits.Developer stackGitHub, Hosted MCP, API, SDK, Code Graph, and Sandbox.PlansOne tier includes context, intelligence, and agents.Project IntelligenceWhy intelligence belongs to the project workspace.Developers
QuickstartConnect an AI coding agent in minutes.Project Intelligence modelThe five-question model behind agent work.Hosted MCPTool contracts for agent clients.API ReferenceProgrammatic context and project intelligence access.GitHub AppRepository sync and PR Answer Packs.Code GraphImpact, symbols, callers, and imports.Snipara SandboxRepeatable execution when validation needs proof.Companion CLIWorkflow continuity for long agent work.VisionProofPricingDocsSign inStart Free