NSNITIN SHRIVASTAVAinnitinvshrivastava.hashnode.dev·18h ago · 15 min readHow SpecNexus Brings Specification Discipline to Agentic DevelopmentSpecNexus is an agentic development workflow for turning mixed feature input into framework-native specifications, outcome-based slices, validation evidence, and a traceable delivery path. Introductio00
RMRamon Melendez Juarezincodebymelendez.hashnode.dev·4d ago · 1 min readWhat Agentic Development Really Means for Modern Software TeamsThe more I work with AI in software, the more convinced I am of this: Agents do not fix bad engineering. They amplify it. That is the part most people miss. If your codebase has flaky tests, unclear b00
MMaverickinjyanshu.hashnode.dev·5d ago · 14 min readAPI vs MCP: Interoperability Trade-offs for AI SystemsThe Core Question When building agentic AI systems, one of the earliest architectural decisions you'll face is: How do my agents and LLMs talk to the outside world — through REST APIs, or through MCP01C
MMMarrouchi Mohamedinblog.hexabot.ai·Jul 31 · 8 min readHexabot 3.4.0: rebuilding RAG around helpers and the databaseHexabot 3.4.0 is now available. It brings a more responsive admin experience, workflow and agent reliability fixes, improved graph layouts, and a substantial round of dependency updates. At the center00
FMFaran Mohammadinfaaaaraaaan.hashnode.dev·Jul 30 · 14 min readOne Agent Setup That Actually Works Across Copilot, Claude, Codex and Grok BuildI got tired of rewriting the same rules every time I switched tools. Claude Code wanted things in .claude/. Codex only looked in .agents/. Copilot had its own .github/ habits and still managed to igno10
SMShams Mukhtarinshamsmukhtar.hashnode.dev·Jul 29 · 22 min readFrom Custom APIs to MCP: How AI Finally Found a Common Language for Tools, Data, and Enterprise SystemsFor decades, software architects have solved integration problems through APIs, messaging systems, middleware, service buses, SDKs, adapters, plugins, and increasingly sophisticated orchestration plat00
Mminhleducinminhleduc.hashnode.dev·Jul 26 · 14 min readThe Architecture Behind a Closed-Loop Eval System for a Multimodal AgentMost eval writeups stop at "we run the agent, score the output, log it somewhere." What's actually interesting about the system Uber Eats built for enhancing merchant content is that the eval harness 00
EEmilienKoppinone-in-emilien.hashnode.dev·Jul 23 · 5 min readPain-driven DevelopmentThe issue Today I was assigned a GitHub issue. Two Laravel event listeners, nearly identical, 130 lines each, duplicating the same orchestration logic: load an entity, manage a sync lifecycle across a00
Mmarkgsaxon3inai-decodeddev.hashnode.dev·Jul 22 · 5 min readHow to Hire AI Agent Developers for Production SystemsQuick answer: To hire AI agent developers for production systems, look for engineers who have shipped agents that run reliably under real traffic, not just demos. Prioritize experience with LLM orches00
JMJoselo Martinezindesignednotmagic.hashnode.dev·Jul 20 · 3 min readLLMs and Tokens Beyond the Hype: Why Smaller Models Might Be the Better Architectural ChoiceWhen we choose and LLM, our first instinct is to pick the newest and largest model available. It's smarter, more capable, and tops every benchmark leaderboard. But is this an architectural desition? 00