
Tiago worked on the speakeasy-api/gram repository, delivering robust backend and observability features over five months. He engineered a dual migration system for ClickHouse, enabling unauthenticated local migrations and reducing developer friction. Leveraging Go, TypeScript, and SQL, Tiago expanded telemetry with per-user filtering, materialized columns, and unified log search, improving traceability and analytics. He centralized RBAC enforcement and auditing across domains, strengthened OAuth checks, and consolidated WorkOS integration for streamlined access control. His approach emphasized maintainability, security, and performance, with careful migration hygiene, code generation for query optimization, and comprehensive logging, resulting in a deeply integrated, reliable platform foundation.
April 2026 monthly review for speakeasy-api/gram. Focused on unifying integration points, strengthening security and traceability, and improving observability. Delivered a consolidated WorkOS client wrapper, enhanced auditing for access mutations, centralized RBAC enforcement across multiple domains with scope checks and a new grants/list endpoint, hardened OAuth checks for toolsets, and telemetry improvements. Also removed legacy access endpoints to simplify maintenance and reduce surface area. Business value gained includes faster integration, stronger access controls, better auditability, and improved visibility into usage and behavior.
April 2026 monthly review for speakeasy-api/gram. Focused on unifying integration points, strengthening security and traceability, and improving observability. Delivered a consolidated WorkOS client wrapper, enhanced auditing for access mutations, centralized RBAC enforcement across multiple domains with scope checks and a new grants/list endpoint, hardened OAuth checks for toolsets, and telemetry improvements. Also removed legacy access endpoints to simplify maintenance and reduce surface area. Business value gained includes faster integration, stronger access controls, better auditability, and improved visibility into usage and behavior.
In March 2026, Gram delivered stability, performance, and RBAC enhancements across telemetry, logs, and access domains. Key work focused on stabilizing deployments, improving telemetry attribution and timestamp precision, and accelerating log queries with materialized columns, while laying foundations for robust RBAC governance. Highlights include restoring deployment timeouts to ensure reliable retries, extracting JWT sub from external MCP OAuth tokens for external_user telemetry attribution, returning nanosecond timestamps as strings to fix precision issues, introducing attribute filtering for logs search with a unified UX, and codegen for materialized ClickHouse columns to route attribute filters efficiently, enabling faster analytics at scale.
In March 2026, Gram delivered stability, performance, and RBAC enhancements across telemetry, logs, and access domains. Key work focused on stabilizing deployments, improving telemetry attribution and timestamp precision, and accelerating log queries with materialized columns, while laying foundations for robust RBAC governance. Highlights include restoring deployment timeouts to ensure reliable retries, extracting JWT sub from external MCP OAuth tokens for external_user telemetry attribution, returning nanosecond timestamps as strings to fix precision issues, introducing attribute filtering for logs search with a unified UX, and codegen for materialized ClickHouse columns to route attribute filters efficiently, enabling faster analytics at scale.
February 2026 was focused on strengthening observability, data quality, migration hygiene, and deployment reliability for speakeasy-api/gram. Key features delivered include a Chat Search API with grouped chat results, enabling faster discovery and traceability across chats. The telemetry program was vastly expanded with per-user filtering and metrics, multiple new endpoints (searchUsers, listUsage by user, listAttributeKeys), and telemetry readme documentation, driving deeper insights and accountability. Data modeling improvements introduced materialized columns (including external user ID and user ID) with non-nullable constraints to boost query performance and data reliability, complemented by a shift to using a query builder (Squirrel) for ClickHouse queries. Migration and tooling were uplifted with Phase 1 multi-statement SQL support, separation of backfill scripts, and systematic cleanup of obsolete items, reducing risk during schema evolution. Reliability and security improvements included CORS fixes on the chat endpoint, auto-retry for transient Fly.io deployment errors, and targeted bug fixes such as improved auto-generated chat thread titles and telemetry tool exposure to Insights AI. Business value delivered: - Faster, more reliable chat discovery and resolution tracing for end users. - Richer telemetry and dashboards enabling data-driven improvements and quicker incident response. - Safer migrations and cleaner codebase, reducing rollout risk and maintenance cost. - More reliable deployments and predictable behavior in edge cases.
February 2026 was focused on strengthening observability, data quality, migration hygiene, and deployment reliability for speakeasy-api/gram. Key features delivered include a Chat Search API with grouped chat results, enabling faster discovery and traceability across chats. The telemetry program was vastly expanded with per-user filtering and metrics, multiple new endpoints (searchUsers, listUsage by user, listAttributeKeys), and telemetry readme documentation, driving deeper insights and accountability. Data modeling improvements introduced materialized columns (including external user ID and user ID) with non-nullable constraints to boost query performance and data reliability, complemented by a shift to using a query builder (Squirrel) for ClickHouse queries. Migration and tooling were uplifted with Phase 1 multi-statement SQL support, separation of backfill scripts, and systematic cleanup of obsolete items, reducing risk during schema evolution. Reliability and security improvements included CORS fixes on the chat endpoint, auto-retry for transient Fly.io deployment errors, and targeted bug fixes such as improved auto-generated chat thread titles and telemetry tool exposure to Insights AI. Business value delivered: - Faster, more reliable chat discovery and resolution tracing for end users. - Richer telemetry and dashboards enabling data-driven improvements and quicker incident response. - Safer migrations and cleaner codebase, reducing rollout risk and maintenance cost. - More reliable deployments and predictable behavior in edge cases.
January 2026 performance highlights for speakeasy-api/gram focused on delivering usable logs insights, strengthening telemetry, and improving user-facing features. Key outcomes include enhanced logs UI with Gram URN filtering and improved attribute display, expanded telemetry capabilities with multi-URN filtering and migration to new endpoints, and a set of resilience and QA improvements that reduce risk in deployments and runtime. In parallel, chat UI improvements and GenAI telemetry data additions position Gram for deeper insights and a stronger user experience.
January 2026 performance highlights for speakeasy-api/gram focused on delivering usable logs insights, strengthening telemetry, and improving user-facing features. Key outcomes include enhanced logs UI with Gram URN filtering and improved attribute display, expanded telemetry capabilities with multi-URN filtering and migration to new endpoints, and a set of resilience and QA improvements that reduce risk in deployments and runtime. In parallel, chat UI improvements and GenAI telemetry data additions position Gram for deeper insights and a stronger user experience.
December 2025 – Speakeasy Gram (speakeasy-api/gram) monthly review: Delivered developer-focused data migrations, Tracy (LLM) readiness, and observability upgrades that reduce friction, improve reliability, and accelerate business value. Key features delivered: - Developer-friendly ClickHouse migrations: Implemented a dual migration system (Atlas and golang-migrate) to support unauthenticated migrations and free tooling. Generates golang-migrate-compatible files and adds an environment variable to switch engines, dramatically reducing local development friction and Atlas login dependency. - MCP Server Instructions support for LLMs: Added an instructions column to mcp_metadata, API endpoints to read/write instructions, initialization with server instructions, and a frontend install page UI for editing/displaying instructions, enabling better context for LLMs. - Telemetry and Observability overhaul: Introduced tool_logs and telemetry_logs tables, API endpoints for listing/searching logs with pagination and filters, security scopes, retry logic for ClickHouse, and a new UI page to view logs, aligning with modern observability practices. Major bugs fixed and reliability improvements: - Fixed unauthenticated ClickHouse migrations path and related edge cases (commit fixing unauthenticated migrations under #935). - Implemented retry mechanism for ClickHouse connectivity to handle idle-state/cloud latency, improving reliability (commit ea95dd49). - Expanded logs API security and robustness (added extra scopes to logs API to tighten access control). Overall impact and accomplishments: - Reduced developer friction and cost by enabling local migrations without Atlas login, improving onboarding and local iteration cycles. - Enabled richer context for LLMs via server instructions, improving model accuracy and tooling interoperability. - Strengthened observability with end-to-end telemetry/logs coverage, enabling faster incident response and better product insights. Technologies/skills demonstrated: - Go, Atlas/golang-migrate, ClickHouse, SQL migrations, SQLC/Goa-backed API changes, and frontend integration for config/instructions UI. - API design for metadata and logging, pagination, filtering, and security scopes; system observability patterns; and repository/codebase organization improvements for telemetry.
December 2025 – Speakeasy Gram (speakeasy-api/gram) monthly review: Delivered developer-focused data migrations, Tracy (LLM) readiness, and observability upgrades that reduce friction, improve reliability, and accelerate business value. Key features delivered: - Developer-friendly ClickHouse migrations: Implemented a dual migration system (Atlas and golang-migrate) to support unauthenticated migrations and free tooling. Generates golang-migrate-compatible files and adds an environment variable to switch engines, dramatically reducing local development friction and Atlas login dependency. - MCP Server Instructions support for LLMs: Added an instructions column to mcp_metadata, API endpoints to read/write instructions, initialization with server instructions, and a frontend install page UI for editing/displaying instructions, enabling better context for LLMs. - Telemetry and Observability overhaul: Introduced tool_logs and telemetry_logs tables, API endpoints for listing/searching logs with pagination and filters, security scopes, retry logic for ClickHouse, and a new UI page to view logs, aligning with modern observability practices. Major bugs fixed and reliability improvements: - Fixed unauthenticated ClickHouse migrations path and related edge cases (commit fixing unauthenticated migrations under #935). - Implemented retry mechanism for ClickHouse connectivity to handle idle-state/cloud latency, improving reliability (commit ea95dd49). - Expanded logs API security and robustness (added extra scopes to logs API to tighten access control). Overall impact and accomplishments: - Reduced developer friction and cost by enabling local migrations without Atlas login, improving onboarding and local iteration cycles. - Enabled richer context for LLMs via server instructions, improving model accuracy and tooling interoperability. - Strengthened observability with end-to-end telemetry/logs coverage, enabling faster incident response and better product insights. Technologies/skills demonstrated: - Go, Atlas/golang-migrate, ClickHouse, SQL migrations, SQLC/Goa-backed API changes, and frontend integration for config/instructions UI. - API design for metadata and logging, pagination, filtering, and security scopes; system observability patterns; and repository/codebase organization improvements for telemetry.

Overview of all repositories you've contributed to across your timeline