February 2026 monthly summary for yaklang/yaklang: Focused on delivering advanced SSA tooling and SyntaxFlow rule discovery to streamline data-flow analysis, improve rule governance, and boost performance. Delivered a consolidated toolchain with ssa_compile/ssa_query, direct rule_id execution, and compile caching, while removing legacy ssa_list_rules and simplifying the API. No user-facing bug fixes were reported; stability improvements achieved via caching and refactor.

January 2026 | yaklang/yaklang monthly results focused on delivering business-ready features, hardening reliability, and expanding cross-repo capabilities. Key features delivered: - SF scanning: added export withScanPrograms and ensured SFScan does not error when program is nil (commits 51cec85078e7fa48e587f35cac2894e63c98baf9, 4d79ec4fc6f53c0be6602555946bb02f40949feb). - Scannode UX: added ScanResult StatusCard for Scannode. - Yaklib: export QueryHTTPFlowByID. - Crep: CA certificate inheritance implemented (instead of hardcoding). - MITM: SNI configuration support. Major bugs fixed: - AES stream encoding: fix to not pad by default. - SFScan init: fix not returning error when program is nil. - HTTPFlow: fix too-large response caused by autoTemplate. - Crawler: fix panic from sending on a closed channel. - IR source: remove debug information. Overall impact and accomplishments: - Increased reliability across core data flows (export, analysis, and proxy paths) and reduced runtime errors. - Strengthened security posture with CA inheritance and correct TLS SNI handling in MITM scenarios. - Improved maintainability and readiness for CI/base changes with targeted fixes and feature flags. Technologies/skills demonstrated: - Go development across multiple modules, TLS/SNI handling, MITM architecture, HIDS monitoring, testing, and CI/workflow improvements.

December 2025 monthly work summary for yaklang/yaklang and yaklang/yakit, focusing on SSA-driven features, code quality, and platform stability. Key contributions include secure SSA project discovery and SSH/code source authentication, schema validation enhancements with oneOf JSON Schema, core SSA refactor to improve Legion integration, expanded SSA Scannode integration with risk reporting/export, and Sfreport import/export enhancements for Legion-friendly single-risk conversions. Also improved CI/QA hygiene and repository maintenance to support scalable development and reliability.

November 2025 focused on delivering core SSA project lifecycle capabilities and robust configuration/detection workflows across yaklang/yaklang and yaklang/yakit. Highlights include script-driven SSA project updates, enhanced filtering/metrics, URL-based traceability, and a migration interface with progress tracking. A broad set of stability fixes improved test reliability, JSON schema validation, and API surfaces, enabling automation, traceability, and deployment readiness.

October 2025 — Yaklang/Yaklang: Delivered latency-optimized features, expanded risk data integration, and increased test coverage to strengthen risk analysis pipelines and overall system reliability. Highlights include a fast-path HTTP flow onFinish function, risk visibility improvements via SSA URL risk query by hash, broader gRPC risk interfaces with a dedicated SSA risk export interface (plus wrapper stream refactor for reliability), and enhanced SFReport data ingestion and testing. Strengthened SSA capabilities with metadata for cap/len and Java array cap tests, alongside targeted bug fixes to improve correctness and stability across the risk/dataflow stack.

September 2025 Yaklang/Yaklang monthly summary focusing on delivering business value through key features, reliability improvements, and process hardening across the SSA ecosystem. Key features delivered reduced risk, improved diff accuracy, and higher throughput for critical workflows, while targeted bug fixes stabilized core paths and improved user-facing behavior. Overall impact includes better traceability and planning visibility, more robust data processing for CVE-related data, and stronger CI/test reliability enabling faster, safer deployments. Technologies/skills demonstrated include Go, gRPC, risk-based data modeling, CI/CD improvements, test stabilization, and tooling enhancements for environment checks.

2025-08 Yaklang/yaklang monthly summary: Implemented major SSA graph tooling, improved testing and risk export, and enhanced performance and reliability. This month focused on business value through scalable testing, faster edge processing, and richer data exports for analytics and compliance. Key outcomes include the introduction of an SSA DOT/Graph testing framework with extended tests; batch SSA scanning with GRPC support for large-scale analysis; performance-focused refactors using dependon/effecton maps and SafeMap for dependency and edge management; SSA risk export to JSON with reuse of SF export code; and SSA disposal optimization with accompanying tests to tighten resource usage and correctness.

July 2025 development summary across yaklang/yaklang and yaklang/yakit focused on stability, API consistency, performance, and test coverage. Delivered features across multiple layers (GRPC APIs, syntax processing, and security-related modules), reduced runtime panics, and strengthened CI automation to support faster, safer releases. Key features and reliability improvements are complemented by targeted bug fixes and data-cleanup efforts that reduce noise and edge-case failures.

June 2025: Strengthened SSA infrastructure, expanded API capabilities, and stabilized the stack across yaklang/yaklang and yaklang/yakit. Delivered core features for constant instruction handling, enhanced data-flow control, risk-disposals lifecycle, and reliability improvements in database setup and LowHTTP, complemented by CI/test stability efforts. These work items collectively deliver tangible business value through more precise code analysis, safer risk management, faster feedback, and more reliable releases.

May 2025: Delivered a comprehensive set of security and quality rules for yaklang/yaklang, strengthening configuration hardening, rule governance, and tooling to accelerate rule authoring and reduce risk. Major features span Spring Boot misconfiguration rules, DoS detection for StringBuilder usage, rule export/import by ID with naming metadata, unreleased database/socket rules, and CLI/XPath export and AI-assisted SF description completion. Core stability and quality improvements accompany the release, including Java2SSA dependency range correction, improved tests and parameter filtering, and API cleanup.

April 2025 monthly summary focusing on key deliverables and overall impact across Yak Lang's core framework and tooling. Delivered significant security-focused enhancements, reliability improvements, and CI/QA improvements that drive safer releases and stronger data analysis capabilities. The month included multiple feature additions across Spring Framework (sf), gRPC, and CI pipelines, along with targeted bug fixes and test stabilization work.

March 2025 performance snapshot: Delivered cross-repo enhancements across yaklang/yaklang, yaklang/yakit, and yaklanghub.io.git focused on scalable rule management, AI configuration, and HTTP flow analysis. Key features include: SyntaxFlow Rule Management and gRPC API enhancements with new filtering, rule update endpoints, API name changes, and stability improvements, enabling more robust rule handling and automation. AI Model Listing and Configuration Enhancements introduced JSON-config-based AI config support and list-type model configurations, expanding AI workflow flexibility. HTTP Flow Analysis Performance and Deduplication delivered subquery-based filtering, concurrency, and dedup controls to improve throughput and data quality. HTTP Flow Analysis API Enhancements in yakit added streaming AnalyzeHTTPFlowResponse and extended query capabilities (AnalyzedIds/BeforeId/AfterId) with extracted content for end-to-end processing. SyntaxFlow Built-in Rules Management and Status in yakakit added service methods for querying/updating built-in rules, TriState enum for library rule filtering, and enhanced status reporting with interface renames. AI Model Listing and Tasks (yakit) exposed ListAiModel API and event structures. MITM Rule Data Export Formats in yakitle added a Type field to specify export format (csv/json). WavyCalling: Simplified error handling in function calls in yaklanghub.io.git, with documentation updates. CI stability improvements included adjusting tests in GitHub Actions. Major bugs fixed include domain extraction in QuakeQuery, robust screen recorder query handling, and dependency range checks for Java projects.

February 2025: Completed key SSA API enhancements and test refinements in yaklang/yaklang to boost reliability and business value of static analysis. Delivered anti-recursion mechanism for within-process SSA analysis, adjusted cross-process recursion prevention, and expanded test coverage; refined source/sink test syntax flow to correctly exclude code elements. These changes reduce edge-case risk, improve test accuracy, and provide a stronger foundation for future SSA features and safe refactors. Commits underpinning delivery include 6ce0bfa065a83078050e3efa62c09bc4b5197d9b, d3508cc00bdfbbc0ee480049fed5ee64fd890a77, and b867192564854aff8e943c5f441d175140c6c9a8.

In January 2025, yaklang/yaklang delivered a reliability fix for the MybatisSink XML parsing, including a typo correction from nativeCallMybatixXML to nativeCallMybatisXML, a refactor to clarify the XML parsing structure, and the addition of helper functions for mapper and query object creation. The changes also improved directive/start element/end element handling and character data processing, reducing potential runtime errors and improving maintainability. This work reduces downstream debugging time and enables safer, faster feature work across the XML-to-mapper pipeline.

December 2024 monthly summary focusing on feature delivery, security visibility, and policy governance. The work integrated reliability improvements for JSP/JSTL-to-Java template conversion, native XSS detection for Java templates and built-in security rules, and a significant refactor of the syntax-flow rules data model with expanded gRPC rule management. Documentation updates addressed Markdown rendering and escaping issues to improve readability and reduce documentation misinterpretation. The combined efforts increased maintainability, risk visibility, and policy effectiveness while delivering measurable business value.

Month: 2024-11 — Yaklang/yaklang delivered targeted reliability improvements and correctness fixes across the codebase, with strong test coverage and refactoring to support safer downstream usage. Key work focused on gRPC service status management, SSA analysis correctness, and Java-to-SSA translation robustness, leading to tangible business value in task control reliability and code analysis accuracy.