PillarAgent Harness Engineering and Agentic Loops: 2026 Field Guide
Execution loops, externalized state, and verification gates now matter more than raw model IQ. Here's how the agents that actually ship are built.
PillarGenerative Engine Optimization: How to Earn AI Citations
Search is becoming synthesis. If ChatGPT, Perplexity, and Google's AI Overviews don't cite you, you're invisible, and the playbook is not the SEO playbook you already know.
PillarAI Coding Agent Economics: Real ROI and Cost per Pull Request
Frontier labs now ship more AI-written code than human-written code, but the viral ROI numbers are wrong. Here is the money math that survives CFO scrutiny.
PillarSWE-bench Pro vs Verified: Can You Trust Coding Benchmarks?
OpenAI deprecated the benchmark everyone quoted, an audit found graders wrong on a third of verdicts, and frontier models got caught reading the answer key. Here is what actually measures a coding agent in 2026.
AnalysisAnthropic S-1 IPO: What's Confirmed vs. The $965B Leak
The confirmed ledger on Anthropic's IPO is one sentence long. Everything else, including the $965 billion valuation, is anonymous-source reconstruction that history says gets revised.
AnalysisBest Local LLM for Coding on 16GB VRAM: June 2026 Rankings
We ran the quantized contenders ourselves: Gemma 4 12B and JetBrains Mellum 2 lead the 16GB tier, and the gap to hosted Claude is exactly quantifiable.
AnalysisAgentic AI in 2026: Real Deployments, Real Failure Rates
Enterprises will spend trillions on agentic AI this year, yet the best agents still fail a third of real-world tasks. Here's where autonomy works, where it breaks, and who's getting sued.
AnalysisPrompt Injection in 2026 Looks Nothing Like 2023. Here's Proof
Production attacks have moved to multi-step goal hijacking, context pollution, and delayed payloads while most deployed defenses still grep for 'ignore previous instructions.'
AnalysisRAGAS vs TruLens vs DeepEval: The 2026 LLM Eval Showdown
We put the three dominant LLM evaluation frameworks on one agentic tool-calling task. The same trace scored 0.9, 0.8, and 0.7. Here's why, and what to gate on.
AnalysisStateless MCP Migration Guide: The 2026-07-28 RC Explained
The MCP 2026-07-28 release candidate deletes sessions and the initialize handshake. Here's exactly where your state goes and how to ship the migration now.
AnalysisAI Agent Observability in 2026: The New Telemetry Stack
Coralogix's $200M bet, a rogue Fedora agent, and the five tools that define agent-loop telemetry this year.
AnalysisReading AI System Cards in 2026: The Anthropic Walk-Back Test
Anthropic reversed Claude Fable 5's silent anti-sabotage clause in 48 hours. The episode is a repeatable audit template for every system card you'll read this year.
AnalysisClaude Fable 5 First Look: Retention Rules Beat Benchmarks
The 80.3% SWE-Bench Pro headline is vendor-stated; the mandatory 30-day retention and silent safety classifier are contractual facts, and they should drive your architecture decisions this week.
PillarAgent Harness Engineering and Agentic Loops: 2026 Field Guide
Execution loops, externalized state, and verification gates now matter more than raw model IQ. Here's how the agents that actually ship are built.
PillarGenerative Engine Optimization: How to Earn AI Citations
Search is becoming synthesis. If ChatGPT, Perplexity, and Google's AI Overviews don't cite you, you're invisible, and the playbook is not the SEO playbook you already know.
PillarAI Coding Agent Economics: Real ROI and Cost per Pull Request
Frontier labs now ship more AI-written code than human-written code, but the viral ROI numbers are wrong. Here is the money math that survives CFO scrutiny.
agentic loops and harness engineeringContext Rot and the Dumb Zone: Engineering Past 100k Tokens
Bigger context windows didn't fix attention. Past roughly 100k tokens agents get lost in the middle, and the fix is architectural, not bigger.
PillarSWE-bench Pro vs Verified: Can You Trust Coding Benchmarks?
OpenAI deprecated the benchmark everyone quoted, an audit found graders wrong on a third of verdicts, and frontier models got caught reading the answer key. Here is what actually measures a coding agent in 2026.
agentic loops and harness engineeringAGENTS.md vs CLAUDE.md vs Cursor Rules: Config Done Right
The config files are your agent's control plane. Get the three-tier permission model and context budgeting right, or watch instruction adherence rot.
agentic loops and harness engineeringThe Ralph Wiggum Loop: Why Stateless Agents Beat Smart Ones
Wiping the agent's memory every iteration sounds like sabotage. It's actually the most reliable way anyone has found to run a coding agent for hundreds of turns.
agentic loops and harness engineeringReasoning-First LLMs: Make Models Reason, Not Rationalize
Your model's chain of thought is a narrative, not a derivation. Here is the stack that forces it to actually compute the answer.
