20 articles tagged Coding
AI answers first, judgment later
AI assistants give juniors fast, confident answers without your system's context. Here is how to move mentoring from giving answers to reviewing judgment.
14 min read · 29 October 2026
Multi-agent DX: LangGraph vs CrewAI gaps
Where LangGraph and CrewAI leave you on your own when debugging multi-agent systems, the failure modes that recur, and how to instrument for causal traces.
16 min read · 28 October 2026
Promotions in the AI era: the mechanism
Why code volume stopped being a promotion signal, and how decision artifacts — ADRs, PR descriptions, instrumented tradeoffs — restore legible evidence of judgment.
17 min read · 8 October 2026
Deployment platforms: senior vs new hire
How to build a deployment platform that serves both senior engineers and new hires, with escape hatches, guardrails, and a decision checklist.
17 min read · 7 October 2026
Debugging techniques that outlast any framework
Framework-agnostic debugging methods: narrow hypotheses about state, time, concurrency, boundaries and data shape, with a worked race-condition example.
11 min read · 6 October 2026
Portfolio projects hiring managers skip
Portfolio projects often fail screening for legibility, not code quality. Here is how to restructure a repo so a reviewer understands it fast.
19 min read · 25 September 2026
Golden paths that don't handcuff
How to build internal scaffolds and CLIs that stay reversible: pinned versions, a compatibility contract, drift detection, and a tested eject path.
12 min read · 21 September 2026
Which agent stack survives 3G?
How edge-deployed and centralised agent stacks behave on high-latency, lossy mobile links, and how to measure reconnection storms before choosing one.
13 min read · 16 September 2026
Platform Teams: Agentic World Struggle
Platform teams must adapt identity, tooling, and observability for AI agents that call APIs instead of using dashboards, with concrete patterns and failure modes.
13 min read · 12 September 2026
Evaluate agents with Spark vs custom harness
A practical comparison of Spark-based and custom Python agent evaluation harnesses, with failure modes, cost arithmetic, and a decision checklist.
12 min read · 3 July 2026
Meter dev-tool pricing in 2026
Build usage-metered pricing for a dev tool: Stripe metered billing, Redis counters, idempotent usage events, and the edge cases that break first.
11 min read · 2 July 2026
9 Vibe coding traps that break production code
Nine patterns that make AI-assisted prototypes fail under load, with the instrumentation to catch each one before it reaches production.
11 min read · 1 July 2026
Double the price, double the revenue
How to design four-tier pricing for a developer tool: seat limits, usage counters, feature gates, plan enforcement, and how to measure whether it converts.
13 min read · 30 June 2026
Choosing an AI Pair Programming Setup: A Practical Guide
How to evaluate AI pair programming tools by latency, signal-to-noise, cost, and privacy, with configs, failure modes, and a decision checklist.
15 min read · 29 June 2026
Platform teams in 2026: Docs vs. production reality
Platform docs describe happy paths; production exposes the gaps. Covers cluster defaults, IDP design by company size, Helm guardrails, and policy enforcement.
18 min read · 27 June 2026
Claude Code after a year: daily wins
Design an agentic Dependabot patcher that bumps a dependency, runs tests in a container, and opens a PR only when the suite passes.
13 min read · 25 June 2026
AI steals junior tasks: 3 skills that protect pay
AI coding tools make boilerplate cheap. Here is how to measure whether your time is shifting to validated product work or just faster scaffolding.
13 min read · 24 June 2026
Portfolio that hires: show constraints, not code
A portfolio that proves engineering judgement: latency budgets, load tests, failure-mode notes and honest trade-offs recruiters can verify.
14 min read · 16 June 2026
African devs: AI tools that work now (2026)
How to evaluate AI coding assistants under limited bandwidth, modest hardware and unreliable power, with concrete measurement steps instead of vendor claims.
12 min read · 15 June 2026
Pricing SaaS tools by real cost, not seat count
A practical method for pricing usage-based SaaS: instrument cost per request, model support burden, guard free tiers, and replay traffic before publishing.
13 min read · 15 June 2026