March 2026 monthly summary for yaklang development. Delivered end-to-end features across AI provider management, telemetry, and configuration, while stabilizing core infrastructure and improving security/testing. Business value delivered includes richer AI usage analytics, safer provider configurations, more robust content handling, and faster, more reliable deployments.

February 2026: Yaklang delivered high-value features and stability fixes across AI memory, search/indexing, runtime, and configuration layers. The work improves response latency, document retrieval accuracy, data reliability, and deployment flexibility, driving measurable business impact in user experience and production stability.

January 2026 across yaklang/yaklang and yaklang/yakit focused on performance, reliability, and expanded AI capabilities. Key initiatives included dynamic concurrency for index building, enhanced GRPC MITM feedback with robust error handling, and streamlined Office file processing via Chunkmaker. Focus Mode and AI Focus workflows were strengthened with end-to-end tests and new RPC/interface enhancements. Memory and AI event management matured with CRUD operations, tagging, and event deletion support, complemented by targeted improvements to knowledge repositories and embedding availability. These changes improved indexing throughput, data integrity, and AI-driven user outcomes while reducing operational risk.

December 2025 delivered a set of high-value features and reliability improvements across yaklang/yaklang, strengthening routing, AI/event capabilities, graph-based tooling, and networking utilities while stabilizing the test baseline. Major features include privileged Route Manager support integrated with core-plugin and updated routing flows, and a new Process Watcher gRPC integration to improve process monitoring and observability. AI-enabled enhancements were added to expose model identity and attachment paths on events, enhancing traceability and auditing. Graph tooling was advanced with an HNSW graph wrapper and a refactor to a Graph Wrapper Manager for better abstraction and scalability. Substantial stability and correctness improvements were made across the codebase, including fixes for knowledge base khop options, duplicate task-event creation, route JSON marshaling, and TLSNextProto handling, complemented by broad test suite stability fixes. Additional maintenance work expanded operational coverage (strong host mode connection pool, batch IP route utilities, and Linux route management helpers). These efforts collectively reduce operational risk, accelerate feature delivery, and improve data quality and system observability.

November 2025 performance summary: Delivered significant features, stability fixes, and foundational improvements across YakLang platforms, enabling faster value delivery and greater extensibility. Key outcomes include a new entity/relationship CRUD RPC, Aid plan/execution flow refactor using a React loop, Aid link table refactor with test stabilization, AI materials RPC, and a core plugin framework with first core plugin integration. These changes strengthen data modeling, UI responsiveness, AI capabilities, and platform extensibility, while targeted bug fixes improved reliability and developer throughput.

October 2025 (yaklang/yaklang): Delivered substantive feature improvements to Rag functionality, expanded AI task planning capabilities, and strengthened the knowledge/indexing substrate, while also improving test stability and removing legacy baggage. The work enhances data processing reliability, enables richer AI-assisted planning, and provides a scalable knowledge foundation for product growth.

September 2025 focused on delivering enterprise-grade entity modeling and knowledge-management capabilities across yakit and yaklang, while tightening data reliability and performance. Major feature delivered: Entity Repository with ERM visualization enabling users to view, query, and manage entities and relationships, with ERM diagrams and a test/debug playground. Strengthened data reliability through a targeted bug fix in the Entity Repository filtering logic (BaseIndex usage). Expanded repository capabilities with a new save endpoint and test coverage for the Entity Repository in yaklang. Improved ERM scalability and processing with unique index support and ERM stream processing. Enhanced RAG and knowledge workflows with streaming answer payloads, unlimited result channels, KHOP-based collection building, and knowledge synchronization tests to boost throughput and accuracy. Overall, these efforts improve data discoverability, reliability, and AI-driven knowledge work, delivering measurable business value and performance gains across API, UI, and knowledge pipelines.

August 2025 monthly performance summary for yaklang/yaklang. This month delivered high-value features, fixed critical reliability issues, and expanded data processing and AI-related capabilities to drive business value. Key features and improvements include: Knowledge Alchemist vector refinement, AI Forge flow reporting, performance and reliability enhancements in fingerprint scanning, LiteForge audio/video analysis with interface refinements, and the introduction of remote entity management via a gRPC interface. Key features delivered: - Knowledge Alchemist: Refine knowledge to vector representation (commit 72f17bc773307254a0903c5bb31417df4ce10d3e). - AI Forge: Flow report added (commit c3138cc73b47e189eb1a1a67fd269258a3cffaa9). - Fingerprint-scan: Added concurrency for fingerprint web scans and a connection pool to improve throughput and reduce connect failures (commits 7604afc2078eef52f5db6f95f0d83d2cce6d95aa, b4c3443c9b24807fcee45792fc0e116ecd4762bc). - LiteForge: Audio/video analysis capabilities and associated interface refinements, including YakLang basic interface integration (commits 0e6d767014146fb4363771197884d87d0ab0a191, 8ebaf9d52f6f0b679832bc3b601902b344e7f2b2, 10963084e85a6c3c84e92e16259d612559efa218, aeddc5d8065f99a98775e2781924b8ef85df090e, a19008b9a736abd89349812114bf6cd98fa2cd17). - Entity Repository: Added a gRPC-based entity repository interface for remote access and management (commit adcf56a9abd4744312e2d5c85cb1a14a495cb2d3). Major bugs fixed: - MitMV2 hosts mapping fix (commit 51c9a4aa1ab914ca519466ccedec4163143bfccf). - Aid: Fix call tool nil result panic (commit 4ef77c1449ac149671f1bed294c97fce43b0e29d). - Tests: Fix test issues (commit abe76db1f97eb14bcd41e451a012de5d1e2f82ce). - Rebase fixes: Multiple rebase-related issues across branches (commits c8aaa1110019eb24d9fd275b7a3fa344767c00f2, b262f11222725ef14fc59f549a363af966308f9b, f92894a44f45051b75d3d3fbae1438f85e0ea603). - FFmpeg: Start index calculation fixes to ensure n starts at 0 (commits 48461dfd7a593ba139bfaffc6654983ce113f3c7, ab8e4c0d336063d5f371697c19d383513865a64c). - Other consolidated bug fixes across modules, including resource handling and memory tests (multiple commits: 4d6dd53afaff06a12efc99865417f869df8ee39c, 5927b8815908fd1906fcbe14f9ec5f04cbe13666). Overall impact and accomplishments: - Significantly improved system reliability and throughput for critical workflows (vector-based knowledge representations, AI/ML-assisted processing, and remote entity management). - Enabled more scalable data processing with concurrency and connection pooling, reducing bottlenecks in fingerprint scanning and MITM workflows. - Strengthened CI/stability through test enhancements and targeted bug fixes, leading to faster, safer releases. - Expanded capabilities across LiteForge, AI Forge, and Erm integration, enabling richer AI-assisted media analysis and entity management. Technologies and skills demonstrated: - Concurrency and performance optimization (fingerprint-scan, MITM plugin concurrency). - API design and remote access (gRPC-based entity repository). - AI/ML integration and vector indexing (Knowledge Alchemist, Erm vector index, AI Forge responsiveness). - Refactoring and maintainability improvements (LowHTTP refactor, stream wait groups, timeout relaxations). - Comprehensive testing and CI improvements (Testing enhancements, CI test suite expansion, smoke test adjustments).

July 2025 development summary for YakLang products focused on reliability, observability, and AI-enabled workflows. Key outcomes include enhanced HTTP retry logic, expanded forge tooling and demos, and new API surfaces to support synchronized AI workflows. Security and stability improvements were delivered through MitM TLS fixes and multiple test/stability corrections. These efforts together improved deployment predictability, data visibility, and developer productivity across YakLang and YakIt. Key achievements (business value and technical impact): - LowHTTP retry handler enhancements with a new retry callback and tests, enabling more reliable retry behavior under transient failures. - Forge tooling improvements: added a log monitor demo for the build-in-forge workflow and introduced a Mock Forge to accelerate testing and development; weblog monitor forge yak added to enhance AI Forge observability. - API and protocol enhancements for AI/workflow synchronization: synchronous messaging support (IsSync/SyncID) and SyncJsonInput in AI outputs, plus a new QueryAIEvent RPC to improve observability and operational insights. - AID enhancements: freedom plan review feature, support for free-review-plan in AID, updates to the freedom review prompt, enabling safer and more flexible AI-assisted decisions. - MITM/TLS and reliability fixes: fixes for MITM TLS check, URL handling, and schema checks, plus related stability fixes to improve reliability and security of proxies and AI tasks. Technologies/skills demonstrated: - Go, gRPC/proto, and API design for synchronous AI workflows - Advanced HTTP handling and low-level network reliability (LowHTTP, HTTPReader, etc.) - Security controls and TLS handling in MITM scenarios - Test-driven development, test data generation, and code quality improvements

June 2025 was a high-impact iteration delivering AI capabilities, memory subsystem resilience, and Forge/GRPC ecosystem improvements across yaklang/yaklang and yaklang/yakit. The month focused on end-to-end AI workflows, reliability, and developer productivity, with substantial improvements to memory management, AI orchestration interfaces, and testing foundations.

May 2025 performance highlights: Delivered AI-driven capabilities, hardened core flows, and expanded fingerprint/data tooling across yaklang/yaklang and yaklang/yakit. Achieved measurable business value through stable rebase handling, robust MITM/GRPC improvements, and scalable data-management features.

April 2025 monthly summary: Key features delivered across yaklang/yaklang and yaklang/yakit include fuzzing enhancements (Random JA3 support, dynamic fuzztag tagging with tests), MITMV2 feature expansions (payload/recover support), AI/task memory and observability improvements (memory init, event timestamps, tool-call timeline, goroutine event handling, reviewer forge), and memory/performance refactors plus tooling improvements. Major bugs fixed span LowHTTP, MITMV2, v2 edge cases, HTTP/2 downgrades, CI flow, and environment/configuration issues, strengthening stability and reliability. The overall impact: stronger security validation via expanded fuzz testing, more reliable MITMV2 hijack/control flows, better AI task observability and memory tooling, and a more stable build and test pipeline that supports faster release cycles. Technologies demonstrated include Go, TLS fuzzing, gRPC, protocol buffers, memory management, CI/CD improvements, and performance optimization.

March 2025 performance summary for yaklang/yaklang and yaklang/yakit. Delivered reliability, throughput, and configurability enhancements, plus foundational MITM v2 readiness and a broad set of bug fixes. Key outcomes include throughput uplift from http-pool refactor to unlimited channel, fuzzing configurability (dial timeout and pool count), Windows GUID naming improvements for easier diagnostics, and MITM v2 initialization with status and hijack information support. Proto and gRPC surface improvements in yakit enable advanced MITMV2 capabilities. The work also expanded endpoint capabilities (pcap, target-monitor) and improved protocol robustness across the stack, resulting in higher stability, faster diagnostics, and a stronger foundation for enterprise MITM deployments.

February 2025 monthly summary focusing on business value and technical achievements across YakLang platform. Key features delivered include JWT-based authentication UI with register flow to improve user onboarding; major networking stack enhancements with ICMP, neighbor routing, and multi-NIC management enabling scalable deployments; NetStack tooling and network observability improvements including ping scan and loopback support; security and platform hardening across MITM, ARP, privilege, and DNS modules; plus CI, testing and documentation improvements to reduce risk and improve developer experience. Major bugs fixed include brute-utils finish condition, DNS lookup rollback, CI/test stabilization, HTTP digest bug fix, proxy header removal, and cross-OS privilege-execute bug; overall, these changes reduce production risk, improve security posture, and enable faster feature delivery. Technologies demonstrated: Go, ICMP/netstack, BPF, MAC privilege handling, DNS packaging, GitHub Actions, and protocol buffer definitions for performance metrics.

January 2025 monthly performance summary for yaklang/yaklang. Delivered core features across CI, HTTP/FLOW, and transport layers, plus targeted refactors to improve reliability, observability, and developer productivity. Business value centers on faster, safer iterations, improved debugging, and robust CI/CD. Key feature deliveries include SSA CI tests and head-range retrieval; HTTP Flow multi-color support; H2 context addition and client preface refactor; Connection Pool refactor with improved close handling; HAR structure and HTTPFlow conversion; and expanded tracing with DialX. Tag capabilities were extended across websocket and mitm flows (tag proto message support and tag test cases). CI/CD infrastructure was hardened with cross-build workflow updates and a Git server relocation to streamline deployment pipelines. The month also included a broad set of bug fixes to stabilize tests and runtime behavior, notably in mitm loop, ssa-to update script, concurrent map handling, HTTP/2 data frame window management, and CI/test reliability.

December 2024 monthly summary for yaklang/yaklang and yaklang/yakit. Delivered targeted features, stability fixes, and observability enhancements that drive security tooling reliability, performance, and data export readiness. Key outcomes include: - Nuclei DSL: fix generate_jwt None type support and added tests — ensured JWT generation gracefully handles None input and added regression tests to prevent future breakages (commits f6f1696f3168ce7a1bf8b5c6930d29da4c48305b; 308d3b226c7cf3db7b60f6d9ccf8f59d824f5e63). - MitM Replacer: support effective URL and test case — added effective URL handling with test coverage to improve accuracy of URL rewriting in MitM scenarios (commits 895df6cfa54aea50078bc6c2127e262c75cfeea9; efc3e31ad086468a35bd3bc49a96ed04067cfb26). - Fuzzer and Connection Pool overhaul — web fuzzer connection pool support and broader refactors with configurability — introduced options to disable conn pool and hotpot, plus refactors to improve reliability and performance (commits d86facd3b8bcaa83e02f4c96634ce214ab7b4261; c246ad6d2442e632b5c4b662070507e5f67f9e3f; e71f3826b6becf06b7a6b741cae175443eda513b; 32cec6c6a735d4e786e9a3be24ec0a02ccb00465). - Network performance observability — added RPS/CPS statistics and network performance server push in duplex-conn — enabling real-time performance visibility and more accurate load testing results (commits c2c340386fd64b036191c7753bae7c5e275ecaf9; cc5c0444ee18d63396d7c78574b50b03f95f50f8). - MITM Rule Extracted Data Export API — introduced new MITM rule data export RPC in yaklang/yakit with proto updates and progress reporting, paving the way for external reporting and integration (commit 590aa12a2c9b54b8c6fa24b91c3ba3423d64a0bb).

Monthly summary for yaklang/yaklang - 2024-11 Overview: November 2024 delivered a solid set of features for plugin ecosystems, streaming capabilities, and scripting, along with meaningful hardening of TLS/configuration and broad test coverage. The team improved system reliability, security posture, and developer productivity through targeted refactors, new capabilities, and robust test suites. Key features delivered: - gRPC plugin support: Added plugin-env gRPC support with accompanying tests and an option to set plugin env from the CLI. (commits: feat(plugin-env):add plugin grpc; test(grpc): add test case; feat(cli): add set plugin env option) - CLI plugin environment option: CLI option to set plugin env to streamline plugin workflows. (commit: feat(cli): add set plugin env option) - Streaming and per-handler capabilities: SM4 support for streams, tests for streaming SM4, and perHandler writer in writer-tools. Proto: add httpflow FromPlugin field. Project-level gRPC export/import refactored to streaming with tests. (commits: feat(sm4):support sm4 for stream; test(sm4-codec):add stream sm4 test; feat(writer-tools):feat perHandler writer; feat(proto):add httpflow message FromPlugin field; refactor(project-grpc):refactor project export and import use stream type; test(grpc-project): add export and import project test) - MitM and plugin interactions improvements: MitM filter improvements and associated tests, including legacy data fixes and interaction guards. (commits: fix/mmitm-filter..., fix(mitm)..., test(mitm-filter): add test case; test(mitm):add set filter test) - Security and TLS improvements: NetX TLS config refactor to gmtls.Config and usage fixes; TLS 1.3 support in GMTLS; ALPN/protocol fixes; export/import encryption and related tests. (commits: refactor(netx):replace tls.Config to gmtls.Config; fix(netx):refactor netx tls.Config all use gmtls.Config; refactor(gmtls):support tls 1.3; fix(gmtls-1.3):fix tls 1.3 alert; refactor(gmtls):support tls 1.3; fix(proto) and related TLS/test updates) - YakScript and scripting enhancements: YakScript plugin env field; SaveNewYakScript fix; improved YakScript management. (commits: feat(yakscript):add plugin env field; feat(yakscript-manage):fix SaveNewYakScript; fix(yakscript-manager):fix redundancy quote) Major bugs fixed: - Yakit function name: Fixed function name in Yakit module. - Tests: Stabilized test suites across modules. - Core plugin: Time blind plugin adds second inspection fixed. - Global/config: Init value handling added and tests increased. - Import/export: Fixed encrypted DB handling for import-project and ensured encryption for export without a password; fixed protocol-related issues in proto handling; various rebase-related stability fixes. - TLS/SNI: Fixed TLS SNI handling quirks and removed noisy verbose SNI settings; removed IP-based SNI checks; several GMTLS protocol and alert fixes. - Misc: Several rebase fixes to restore history integrity; plugin-env handling for empty values corrected; YakScript manager quote redundancy fixed. Overall impact and accomplishments: - Business value: Accelerated plugin-driven workflows and enhanced project collaboration through gRPC-based imports/exports and streaming pipelines. The CLI env option reduces setup friction, enabling faster on-boarding of new plugins. - Reliability: Significant stabilization across serialization, TLS, and project exchange paths, reducing incident rates and enabling safer deployments. - Security: Hardened TLS/GMTLS configurations, TLS 1.3 support, and encrypted project exchange paths, reducing risk in data-in-transit and at-rest scenarios. - Quality and velocity: Expanded test coverage (GRPC, MITM, XML, YakScript, global-config, etc.), enabling quicker feedback cycles and safer refactors. Technologies/skills demonstrated: - Go language and idiomatic tooling, gRPC, Protobuf, and complex streaming pipelines - TLS/GMTLS, ALPN, and TLS 1.3 readiness - Plugin-env and CLI integration patterns, perHandler writer architecture - Test-driven development and robust test suites across modules - Refactoring discipline and handling of complex repo-wide changes (rebase stability, config init improvements, test fixes)

Month: 2024-10 | Repository: yaklang/yaklang Summary: - Delivered key networking features with UDP listen-only mode and HTTP/3 support in lowhttp. Implemented dialPlainUdpConn-based listen-only dialing with DialX_WithUdpJustListen; exposed HTTP/3 option for configuration and added end-to-end tests. No major bugs documented or fixed this month. These changes extend protocol compatibility, improve configurability, and boost reliability for production deployments, enabling customers to operate UDP in listen-only mode and utilize HTTP/3 in client workflows. Overall impact: - Business value: Enhanced network protocol versatility, enabling customers to adopt listen-only UDP and HTTP/3 with confidence, reducing integration risk and operational overhead. - Technical achievements: Added UDP listen-only mode, HTTP/3 support in lowhttp, config exposure, and test coverage. Technologies/skills demonstrated: - Go language, UDP networking, net package, lowhttp, and HTTP/3 client support; configuration management and test-oriented development (CI-focused).

September 2024 monthly performance summary for yaklang/yaklang, focusing on delivering a robust and maintainable matcher and filtering pipeline, with improvements to YAML export and test reliability. The month included a major framework overhaul and targeted bug fixes that reduce runtime errors and improve data correctness for downstream users.