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All digests tagged Software Development Lifecycle (SDLC)
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Learn how to build a fully autonomous 'Software Factory' using agent loops and feedback loops. Discover how to achieve 75% PR merge rates without human intervention, while maintaining cost control and model agnosticism.
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Agentic Engineering is the future of software development. Learn the five core concepts—Prompt, Context, Harness, Loop, and Graph Engineering—that power autonomous AI agents and automate the entire SDLC.
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The AI Engineer role is shifting from writing features to building self-improving loops. This requires building always-on agents that consume telemetry, run in durable sandboxes, and are continuously tested using advanced evaluation systems.
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AI agents have made writing code nearly free, shifting the bottleneck from coding to defining the problem. The future of engineering lies in the Product Engineer role: figuring out what 'good' means.
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Learn how to use AI 'dots' to automate bug tracking and triage. See how an engineer uses an agent to gather feedback from Reddit and Twitter, identify major bugs, and initiate root cause analysis.
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GEICO tackled the 'outer loop' bottleneck in SDLC by building an AI-native war room. This system uses agent fleets and structured rules (FleetKit) to accelerate major code modernization missions and automate decision-making.
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Tenex details how AI is shifting engineering from time-based labor to outcome-based work. They discuss building 'AI-native' processes and the critical challenge of agent deployment in large enterprises.
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The shift to agentic software requires building 'Software Factories' that prioritize quality and reliability. Key architectural components include DAG-based workflow modeling, layered security defenses, and optimizing for 'operating capability' over raw compute power.
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Gemini 4 Argon launches with 1 million output tokens and advanced capabilities for code migration (Fortran to Rust) and deep debugging. Learn how this model is changing coding, cybersecurity, and knowledge work.
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Learn how Postman mapped 115 microservices into an API context graph to enable coding agents to function across complex, distributed systems. Discover how to improve API discovery and impact assessment.
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Codex is demonstrated as an advanced AI agent capable of automating complex, multi-stage development workflows. Learn how to use Goals, Subagents, and the App Server to build 'software factories' and manage entire CI/CD pipelines.
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Discover how VS Code moved from monthly to weekly releases by rebuilding its entire system around AI agents. Learn about improving CI/CD with TypeScript Go, automating issue triage from 51 billion daily events, and implementing self-correcting feedback loops.
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Kimchi is an open-source coding harness that optimizes LLM usage by measuring cost per task, not cost per token. It features Ferment for autonomous, milestone-based coding and Teleport for remote, continuous agent sessions.
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AI is changing DevEx: PR size is up (44 to 72 lines), but Change Confidence is down 6%. The true bottleneck isn't code generation, but meeting overhead and context switching.
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AI News & Strategy Daily | Nate B Jones
Scaling AI productivity requires fixing the system, not the engineer. Learn six principles—from making agents 'multiplayer' to removing obsolete processes—to build a 'faster factory' for AI-assisted development.
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The talk details 'harness engineering,' arguing that advanced AI skills must move beyond simple prompting. Techniques include using blind sub-agents, anti-attractors, and hooks to build robust, deterministic, and multi-model compatible systems.
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Scaling agentic coding requires fixing fundamentals first: CI/CD, platform stability, and testing. The 2025 DORA report warns that agents make weak delivery worse.
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Learn how LinkedIn scaled AI agents to thousands of tools and playbooks using a Search/Get Schema/Execute meta-tool layer, enabling reliable, context-aware automation.
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Context engineering is now the main lever on what a coding agent can actually do. The three remaining constraints are human time, attention, and the context window.
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