Older Posts — Page 17 of 18
LLM metrics that stop wasting time
A practical guide to LLM evaluation in production: grounding checks, drift detection, cost and latency metrics, and how to measure each one.
13 min read · 14 June 2026
AI freelance rates 2026: which stacks still pay
AI code generation shifts effort from writing components to compliance, observability and edge cases. Here is how to price and instrument that hidden work.
12 min read · 13 June 2026
Earning Developer Attention Without a Marketing Budget
How contribution-first marketing works for developer tools: micro-snippets, upstream docs, package managers, and how to measure each channel yourself.
11 min read · 13 June 2026
Cutting Client Bundle Size with React Server Components
How React Server Components move dependency weight off the client, with a worked migration, a measurement method, and the failure modes that bite in production.
13 min read · 13 June 2026
Tool calls under load: async batch vs fire-and-forget
Compare async batch and fire-and-forget tool-calling patterns: when each fits, how to instrument latency and queue depth, and how to pick a batch size.
16 min read · 13 June 2026
AI Static Analysis vs Rule-Based SAST: A Practical Comparison
How AI-assisted static analysis compares with rule-based SAST on scan latency, false negatives, cost, and ops, plus how to measure both on your own repos.
14 min read · 13 June 2026
Remote work in 2026: which tools still hold up
Design a remote engineering stack for high-latency, metered, outage-prone networks: self-hosted runners, async chat, retries, and observability.
11 min read · 13 June 2026
AI-native apps: forget the old stack
LLM-backed services are token-bound, stateful and failure-prone. Learn the failure modes, how to measure them, and patterns that contain them.
10 min read · 12 June 2026
Designing an AI Alert Triage Layer That Reduces Pages
How to build an AI alert-triage service between Alertmanager and your pager: fingerprinting, LLM filtering, fail-open rules, and honest measurement.
14 min read · 12 June 2026
AI sales cycles: why dev tools now need 3 demos
Developer tools are increasingly bought by non-engineers who want proof in their own cluster. Here is how to structure three live demos that survive real infrastructure.
11 min read · 12 June 2026
AI rollouts live or die by flags
How to gate model versions, prompts, and safety filters behind feature flags, with a Lambda evaluator, SDK, timeout handling, canaries, and tests.
14 min read · 12 June 2026
Ship 1MB pages on 4G: Starlink Africa case study
How to cut page weight with Brotli, fallback encoding, CDN caching and QUIC, plus how to measure transfer, TTFB and Core Web Vitals honestly.
13 min read · 12 June 2026
Context-aware security gates that cut CI alert noise
How to filter CI security findings by pull request diff so scanners surface only what the change actually affects, with policy-as-code examples.
12 min read · 12 June 2026
Reconciling mobile money: edge cases banks ignore
Why provider webhooks are only approximate signals, and how to reconcile them against MNO ledgers with tolerance windows, dedup keys and batch jobs.
17 min read · 12 June 2026
Which AI wrappers made money in 2026
Most AI wrapper products fail on latency, cost, and churn rather than model quality. Here is a rubric, failure analysis, and code to build one that lasts.
10 min read · 12 June 2026
Self-healing agents vs rule-based deployment rollback
Comparing AI-agent and rule-based deployment rollback: failure modes, what to instrument, and a decision checklist for choosing between them.
12 min read · 11 June 2026
Turn AI coding telemetry into a salary negotiation case
Build a CLI that pulls AI coding-assistant session data, maps it to tickets, and produces defensible productivity numbers for pay talks.
12 min read · 11 June 2026
AI interviews broke system design: 3 patterns that
AI design tools produce complete-looking architectures that fail under real load. Three patterns, why they happen, and how to catch them before staging.
15 min read · 11 June 2026
Designing USSD fintech flows that survive live networks
A practical guide to building reliable USSD fintech flows on AWS: state machines, 160-character screens, carrier SLAs, idempotency, and latency instrumentation.
17 min read · 11 June 2026
Cutting cloud egress costs: architecture that works
Egress costs come from small, frequent cross-boundary calls. Learn the architecture patterns that reduce data transfer and how to verify savings.
13 min read · 11 June 2026
Personal AI assistants: avoid vendor lock-in traps
How to structure a personal AI assistant as replaceable services: contracts, self-hosted embeddings, retries, failure modes, and a checklist to start.
15 min read · 11 June 2026
AI agents eat your budget 3 ways
Token inflation, retry storms and timeout math quietly inflate AI agent bills. Learn how to instrument, cap and verify each cost vector.
12 min read · 11 June 2026
7 code review traps when AI writes half your code
Seven review traps AI-generated code creates, how to detect each one, and a checklist you can add to your repo today.
12 min read · 11 June 2026
2026 tech salaries: where cuts stopped, where raises
How funding stage, equity structure and cross-border tax shape 2026 tech pay, plus a worked offer comparison and a checklist for judging any package.
12 min read · 10 June 2026