February 2026 monthly summary focused on delivering scalable features and SDK readiness across drift-labs/protocol-v2 and drift-labs/drift-common. Emphasis on developer experience, system scalability, and enabling new features. No explicit bug fixes recorded in this period based on provided data; primary value delivered through documentation, capacity improvements, and SDK upgrades.

2026-01 Monthly Summary: Cross-repo reliability, performance, and developer velocity improvements across drift-common, dlob-server, and keeper-bots-v2. Delivered robust reconnection handling, up-to-date protocol/SDKs, stabilized WebSocket workflows, improved trading slippage logic, and real-time data capabilities to enhance business-critical operations.

Month: 2025-11. Delivered a set of business-value features and reliability improvements across drift-common, dlob-server, and protocol-v2, focusing on UI customization, market operation resiliency, and API simplification. Key contributions include dynamic Health Icon color support, developer-experience improvements, enhanced market order parameter handling, a drift-common submodule update, and deprecation of an outdated DriftClient fuel bonus API. These efforts improve customization, robustness, and maintainability while reducing future integration costs.

2025-10 Monthly Summary — Drift Labs Overview: Delivered targeted improvements across drift-common and the dLOB server with a focus on accuracy, reliability, and pricing integrity. Implemented robust PnL/notional calculations, enhanced order context, dynamic risk settings, and integrated oracle data to strengthen data freshness guarantees for perpetual markets.

September 2025 performance summary: Across drift-common, dlob-server, and keeper-bots-v2, delivered concrete improvements in data clarity, historical data modeling, PnL accuracy, and code quality. Highlights include removing BAL dependencies from user position retrieval, reintroducing SnapshotHistory for multi-resolution history, fixing unsettled P&L calculation in the PNL Publisher, refining dynamic slippage logic and mid-major grouping, and stabilizing Keeper Bots dependencies with targeted refactors.

August 2025 monthly summary focusing on reliability, pricing clarity, and developer ergonomics across drift-labs repos. Delivered targeted PnL settlement robustness, dynamic and bounds-aware slippage calculations, and pricing visibility improvements, while refining icon assets and PnL data serialization. These efforts reduce risk, improve trading execution confidence, and enable faster downstream product development and integration.

July 2025 performance highlights: Delivered targeted feature and reliability improvements across drift-common, dlob-server, and keeper-bots-v2, driving business value through API flexibility, price accuracy, and operational efficiency. Key outcomes include: (1) drift-common feature enhancements with exponent pool symbol extraction and icon generation formatting, plus optional slippageTolerance in profit calculations for backwards-compatible API flexibility; (2) cross-repo dependency upgrade of drift-common to improve security, compatibility, and stability; (3) dlob-server auction parameters enhancements enabling full-precision amounts and a tighter slippage control with forceUpToSlippage; (4) expanded DLOB data exposure (oraclePrice) and a configurable, higher-performance orderbook update cadence; (5) keeper-bots-v2 PnL settlement logic improvements and strategy expansion, complemented by improved observability into bot initialization and settlement flows. These changes collectively improve time-to-market for integrators, pricing accuracy, risk controls, and monitoring capabilities.

June 2025 monthly summary: Delivered protocol compatibility improvements and robustness enhancements across drift-common and dlob-server, with a focus on type safety and stability. Key actions include a protocol subproject upgrade, enhanced per-quote error handling to prevent full-loop halts, and a typing/formatting cleanup in drift-events that aligns with TypeScript conventions. These changes reduce runtime risk, streamline future protocol upgrades, and demonstrate strong TypeScript discipline and operational reliability.

Summary for 2025-05: Delivered critical reliability and flexibility improvements across two repositories. In drift-common, introduced a configurable liquidation price cap (capLiqPrice) to support scenario-based risk tolerance, and fixed a liquidation precision bug to ensure accurate Perp PnL and deposit processing by correcting the market type used in getPrecisionToUse. In drift-labs/dlob-server, added an internal authentication bypass for selected endpoints to streamline internal service calls while maintaining security controls via INTERNAL_SECRET in the Authorization header. These efforts enhance data integrity for liquidation calculations, enable safer experimentation with liquidation parameters, and improve internal service efficiency. Overall, improved data accuracy in liquidation workflows, better risk modeling flexibility, and strengthened internal security and performance. Key outcomes include reduced mispricing risk in liquidations, more precise risk modeling, and improved internal workflow security and efficiency.

In April 2025, drift-common delivered meaningful UI and data-layer improvements with a focus on design consistency, clarity, and robust module resolution. Key outcomes include expanding and stabilizing the icon library, refining trigger order labeling in the UI for Market and Limit orders, adding a new rewards download type to support reward data delivery, and hardening the codebase through an import-path fix for AuctionParams and EMPTY_AUCTION_PARAMS. These changes reduce UI ambiguity, prevent runtime errors, and enable richer data categorization, driving improved user experience and downstream business value.

March 2025 performance summary focusing on reliability, maintainability, and business value across drift-common and protocol-v2.

February 2025 monthly summary for drift-labs/dlob-server focused on data accuracy in stale-order handling through targeted threshold tuning of Vamm orders. Delivered a concise bug fix that refines exclusion criteria to improve processing accuracy and stability in the DLOB pipeline.