Topic
All digests tagged Software Development Life Cycle (SDLC)
Suggested route
Move from earlier context through the available material to the newest signals. This route is a reading aid, not a difficulty ranking.
The Software Factory proposes an autonomous system of agents that converts input signals (like bug reports) into production code. The focus shifts from coding to governing agents, emphasizing model-agnostic principles and measuring outcomes like signal-to-production time.
Read article
Scaling AI agents requires more than just tools. Success demands redesigning the entire workflow, remodeling roles, and building trust incrementally through automated code review and merging.
Read article
Entire is a new developer platform built to solve the 'missing middle' of the SDLC in the agent era. It captures context, decisions, and evaluations from intent to production, reimagining the PR into 'Trails' and integrating programmable 'Runners' and 'Gates.'
Read article
Software engineering is becoming 'factory engineering.' Lloyd details the automated SDLC factory, which uses agents for triage, spec generation, implementation, and monitoring. Value is captured by building the ecosystem, not just the product.
Read article
Spec-Driven Development (SDD) is the disciplined alternative to 'vibe coding.' It teaches developers to write detailed specifications (the 'what') to guide coding agents, ensuring maintainable code and structured feature development.
Read article
AI success is shifting from token consumption to Valuemaxxing. Teams must measure outcomes—like deployments completed or rework avoided—rather than just AI usage volume.
Read article
Uber's Software Factory leverages agentic AI across six building blocks: Model Gateway, MCP Gateway, Skills Marketplace, Context Graph, and Minion agents. This infrastructure has increased PR generation by 70% and doubled code output per engineer.
Read article
AI models are no longer the bottleneck in code review; context is. The future requires moving from line-by-line diff checking to reviewing an entire software development graph that tracks service contracts and dependencies.
Read article
To scale your software factory, move it into agent sandboxes. This provides isolation, scale, and autonomy by implementing a three-tier orchestration system.
Read article
The key to advanced agentic engineering is realizing that agents plus code beats agents alone. The Super Simple Software Factory automates the full SDLC using deterministic checks and three principles: Observable, Customizable, and Reusable.
Read article
The bottleneck in shipping production AI agents isn't the model; it's the developer loop. Learn how to use sub-agents, skills, and goals to automate your entire development workflow.
Read article
Learn how Netflix built an AI agent to automate performance engineering. Discover how LLMs can read profiling data, find quadratic-time anti-patterns, and propose fixes validated by real production traffic.
Read article
The winning mindset in AI is 'AND,' not 'OR.' Model Fusion combines compute from multiple state-of-the-art agents (e.g., GPT 5.6 Sol, Claude Fable 5) using custom commands like /opinion and /auto validate to achieve superior engineering results.
Read article