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This post argues that the most critical product decision is often what not to build, citing "document hubs" and "notification centers" as common pitfalls. It highlights how seemingly simple features can balloon into complex, costly, and poor user experiences, advocating for ruthless focus and illustrating long-term running costs.
Google’s AI & Infrastructure team built an agentic pipeline (Mantis) that runs pre‑submit AI‑driven scans on every code check‑in, validates findings with a fast triage agent (AST + call‑graph analysis) achieving >92% precision in <1 min, then auto‑generates fixes via a bug‑fix agent. Localized threat models and a two‑step scan cut false‑positives to ~3% and prevent hundreds of vulnerabilities eac…
New SaaS platforms are experiencing a significant boom on Stripe, with new businesses up over 180% year-over-year, defying earlier market fears of a 'SaaSpocalypse'. These platforms differentiate by embedding deep industry knowledge and integrating core workflows, with AI accelerating their development and enhancing offerings.
This article argues that CMMI (Capability Maturity Model Integration) is an outdated and ineffective methodology for software development. It contends that CMMI's focus on institutionalized process devalues individual talent, stifles innovation, and has failed to prove its worth in the broader technology space.
This essay argues that AI-assisted development is transforming engineers into full-time reviewers, evaluating AI-generated diffs instead of writing code. This shift introduces new cognitive fatigue and may exacerbate the skill gap between senior and junior engineers.
