Kalshi Demo Environment Support
This post covers the implementation of ADR-015 (Kalshi Demo Environment Support), enabling safe testing with Kalshi's demo API without risking production credentials or capital.
Blog¶
Engineering blog posts documenting intent, decisions, and implementation details.
Each post follows the CLAUDE.md requirement: developer-centric articles explaining the decision-making process with implementation examples.
Posts¶
- 2026-01-22: Automated Market Discovery and Matching - ADR-017 implementation: text similarity matching with human-in-the-loop safety
Market Discovery Phase 1: Foundation Types and Storage
This post covers Phase 1 of ADR-017 (Automated Market Discovery and Matching) - establishing the data types and persistence layer for the discovery system.
Market Discovery Phase 2: Text Matching Engine
This post covers Phase 2 of ADR-017 - implementing the text similarity matching engine that powers automated market discovery between Polymarket and Kalshi.
Market Discovery Phase 3: API Clients
This post covers Phase 3 of ADR-017 - implementing the API clients that fetch market listings from Polymarket and Kalshi for automated discovery.
Market Discovery Phase 4: Scanner & Approval Workflow
This post covers Phase 4 of ADR-017 - the scanner actor for periodic discovery and the safety-critical human approval workflow.
Market Discovery Phase 5: CLI Integration (Final)
This post covers Phase 5, the final phase of ADR-017 - CLI command integration for the discovery workflow.
Closing ADR Gaps: Nonce Management, Risk Controls, and Key Rotation
Completing the remaining implementation gaps across ADRs 004, 005, 007, and 009 with thread-safe nonce management, risk manager actor, compensation executor, and key rotation support.
Extracting Architecture ADRs for Full Traceability
How we resolved an ADR naming conflict and established bidirectional traceability between requirements, decisions, and implementation.
Deploying to AWS us-east-1
How we built infrastructure-as-code with Terraform for deploying our trading system to AWS, including ECS Fargate, Aurora PostgreSQL, and ElastiCache Redis.
Dual-Interface Control with gRPC and Telegram
How we built a trading control plane with gRPC for programmatic access and Telegram for mobile-friendly monitoring.